Triple
T5619888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andaman Trunk Road |
E147573
|
entity |
| Predicate | hasLocalName |
P6353
|
FINISHED |
| Object |
ATR
ATR is the commonly used abbreviation for the Andaman Trunk Road, a major roadway running through the Andaman Islands in India.
|
E531154
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ATR | Statement: [Andaman Trunk Road, hasLocalName, ATR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ATR Context triple: [Andaman Trunk Road, hasLocalName, ATR]
-
A.
ATR
ATR is a Franco-Italian aircraft manufacturer best known for producing regional turboprop airliners widely used by airlines around the world.
-
B.
ATR
ATR is a high-flux nuclear research reactor at Idaho National Laboratory used primarily for materials testing and irradiation experiments.
-
C.
ATR 72
The ATR 72 is a twin-engine turboprop regional airliner widely used by airlines around the world for short-haul passenger flights.
-
D.
ATR 42
The ATR 42 is a twin-turboprop, short-haul regional airliner developed by the French-Italian manufacturer ATR, widely used by airlines for commuter and regional routes.
-
E.
ATA-3
ATA-3 is the third generation of the AT Attachment (ATA) interface standard for connecting storage devices like hard drives and optical drives to computers, introducing enhancements in performance and reliability over earlier versions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ATR Triple: [Andaman Trunk Road, hasLocalName, ATR]
Generated description
ATR is the commonly used abbreviation for the Andaman Trunk Road, a major roadway running through the Andaman Islands in India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ATR Target entity description: ATR is the commonly used abbreviation for the Andaman Trunk Road, a major roadway running through the Andaman Islands in India.
-
A.
ATR
ATR is a Franco-Italian aircraft manufacturer best known for producing regional turboprop airliners widely used by airlines around the world.
-
B.
ATR
ATR is a high-flux nuclear research reactor at Idaho National Laboratory used primarily for materials testing and irradiation experiments.
-
C.
ATR 72
The ATR 72 is a twin-engine turboprop regional airliner widely used by airlines around the world for short-haul passenger flights.
-
D.
ATR 42
The ATR 42 is a twin-turboprop, short-haul regional airliner developed by the French-Italian manufacturer ATR, widely used by airlines for commuter and regional routes.
-
E.
ATA-3
ATA-3 is the third generation of the AT Attachment (ATA) interface standard for connecting storage devices like hard drives and optical drives to computers, introducing enhancements in performance and reliability over earlier versions.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c00905d4588190bd967842bbcf2219 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c022108db8819098739510366adee1 |
completed | March 22, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0287fcde881908f761b701bf9a4f3 |
completed | March 22, 2026, 5:36 p.m. |
| NEDg | Description generation | batch_69c03894b9388190bd534ad107722b83 |
completed | March 22, 2026, 6:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0393144248190a97d1f82b81cc868 |
completed | March 22, 2026, 6:47 p.m. |
Created at: March 22, 2026, 3:40 p.m.