Triple
T14067956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karur |
E338524
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
TN-47
TN-47 is the regional vehicle registration code assigned to the Karur district in the Indian state of Tamil Nadu.
|
E1077361
|
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: TN-47 | Statement: [Karur, vehicleRegistrationCode, TN-47]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TN-47 Context triple: [Karur, vehicleRegistrationCode, TN-47]
-
A.
TN-5
TN-5 is the commonly used abbreviation for Tennessee's 5th congressional district, a U.S. House of Representatives district centered around Nashville.
-
B.
TN-81
TN-81 is a regional vehicle registration code assigned to a specific transport authority jurisdiction in the Tiruchirappalli area of Tamil Nadu, India.
-
C.
TN-01
TN-01 is the vehicle registration code assigned to the Chennai (Santhome) Regional Transport Office in the Indian state of Tamil Nadu.
-
D.
TX-4
TX-4 is the commonly used abbreviation for Texas's 4th congressional district in the United States House of Representatives.
-
E.
TN-1
TN-1 is the standard postal-style abbreviation used to refer to Tennessee’s 1st congressional district in the U.S. House of Representatives.
- 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: TN-47 Triple: [Karur, vehicleRegistrationCode, TN-47]
Generated description
TN-47 is the regional vehicle registration code assigned to the Karur district in the Indian state of Tamil Nadu.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TN-47 Target entity description: TN-47 is the regional vehicle registration code assigned to the Karur district in the Indian state of Tamil Nadu.
-
A.
TN-5
TN-5 is the commonly used abbreviation for Tennessee's 5th congressional district, a U.S. House of Representatives district centered around Nashville.
-
B.
TN-81
TN-81 is a regional vehicle registration code assigned to a specific transport authority jurisdiction in the Tiruchirappalli area of Tamil Nadu, India.
-
C.
TN-01
TN-01 is the vehicle registration code assigned to the Chennai (Santhome) Regional Transport Office in the Indian state of Tamil Nadu.
-
D.
TX-4
TX-4 is the commonly used abbreviation for Texas's 4th congressional district in the United States House of Representatives.
-
E.
TN-1
TN-1 is the standard postal-style abbreviation used to refer to Tennessee’s 1st congressional district in the U.S. House of Representatives.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de568b81f08190a571004261c0e8e4 |
completed | April 14, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb66aeff8819088239226bbe25fd5 |
completed | May 7, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69fcc17d16008190bfec11ba0c229aae |
completed | May 7, 2026, 4:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcc1fe9bb0819098aa2655330569cb |
completed | May 7, 2026, 4:46 p.m. |
Created at: April 9, 2026, 10:21 p.m.