Triple
T10794825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zanjan Province |
E254676
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Tarom
Tarom is a city in Iran known for its location within Zanjan Province and its surrounding mountainous, agricultural landscape.
|
E910968
|
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: Tarom | Statement: [Zanjan Province, hasCity, Tarom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarom Context triple: [Zanjan Province, hasCity, Tarom]
-
A.
Tarom
Tarom is Romania's national flag carrier airline, operating domestic and international flights primarily from its hub in Bucharest.
-
B.
Tighina
Tighina is a historic city in present-day Moldova, also known as Bender, which has long held strategic importance on the Dniester River.
-
C.
Târgoviște
Târgoviște is a historic city in southern Romania, known as a former Wallachian capital and the site where Nicolae Ceaușescu was executed in 1989.
-
D.
Arad
Arad is a small Israeli city on the edge of the Negev Desert, known for its dry climate, desert landscapes, and proximity to the Dead Sea and Masada.
-
E.
Arad
Arad is a major city in western Romania known for its historical architecture, cultural heritage, and role as an important industrial and transportation hub near the Hungarian border.
- 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: Tarom Triple: [Zanjan Province, hasCity, Tarom]
Generated description
Tarom is a city in Iran known for its location within Zanjan Province and its surrounding mountainous, agricultural landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tarom Target entity description: Tarom is a city in Iran known for its location within Zanjan Province and its surrounding mountainous, agricultural landscape.
-
A.
Tarom
Tarom is Romania's national flag carrier airline, operating domestic and international flights primarily from its hub in Bucharest.
-
B.
Tighina
Tighina is a historic city in present-day Moldova, also known as Bender, which has long held strategic importance on the Dniester River.
-
C.
Târgoviște
Târgoviște is a historic city in southern Romania, known as a former Wallachian capital and the site where Nicolae Ceaușescu was executed in 1989.
-
D.
Arad
Arad is a small Israeli city on the edge of the Negev Desert, known for its dry climate, desert landscapes, and proximity to the Dead Sea and Masada.
-
E.
Arad
Arad is a major city in western Romania known for its historical architecture, cultural heritage, and role as an important industrial and transportation hub near the Hungarian border.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733321dd881909dcd4224dfa9822a |
completed | April 9, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e49658b5a48190813dcf114d92be8e |
completed | April 19, 2026, 8:46 a.m. |
| NEDg | Description generation | batch_69e49a97db808190aa22d6a103a13e58 |
completed | April 19, 2026, 9:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e49d71e81c8190af73931ed30e04be |
completed | April 19, 2026, 9:16 a.m. |
Created at: April 8, 2026, 9:17 p.m.