Triple
T13592009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jewar Airport |
E324712
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Jewar town |
E751727
|
NE FINISHED |
How this triple was built (2 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: Jewar town | Statement: [Jewar Airport, namedAfter, Jewar town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jewar town Context triple: [Jewar Airport, namedAfter, Jewar town]
-
A.
Jewar
chosen
Jewar is a town in Uttar Pradesh, India, known for its rapidly developing infrastructure and the upcoming Noida International (Jewar) Airport project.
-
B.
Raisinghnagar
Raisinghnagar is a town and administrative center in the northern Indian state of Rajasthan, known for its agricultural economy within the arid region near the India–Pakistan border.
-
C.
Yamunanagar
Yamunanagar is an industrial city in the Indian state of Haryana, known for its plywood, paper, and metal industries and its proximity to the Yamuna River.
-
D.
Rewari
Rewari is a historic city in the Indian state of Haryana, located near Delhi and known for its brass industry and strategic position in northern India.
-
E.
Bhaderwahi
Bhaderwahi is an Indo-Aryan language spoken primarily in the Bhaderwah region of Jammu and Kashmir, India.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb056ce088190a6feb4266633d18b |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f8ffc508190a7bc69745c43a644 |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:49 p.m.