Triple
T3116384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agra Airport |
E65071
|
entity |
| Predicate | servesRegion |
P82
|
FINISHED |
| Object | Agra district |
E16921
|
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: Agra district | Statement: [Agra Airport, servesRegion, Agra district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agra district Context triple: [Agra Airport, servesRegion, Agra district]
-
A.
Agra division
Agra division is an administrative division in the Indian state of Uttar Pradesh that includes the city of Agra and surrounding districts.
-
B.
Ayodhya district
Ayodhya district is an administrative region in the Indian state of Uttar Pradesh, renowned as a major Hindu pilgrimage center and the site of the revered city of Ayodhya.
-
C.
Agra
chosen
Agra is a historic city in northern India renowned for its Mughal-era architecture, most notably the Taj Mahal and Agra Fort.
-
D.
Lucknow district
Lucknow district is an administrative region in the Indian state of Uttar Pradesh that encompasses the city of Lucknow and its surrounding areas.
-
E.
Varanasi district
Varanasi district is an administrative region in the Indian state of Uttar Pradesh that encompasses the ancient and sacred city of Varanasi (Kashi), a major center of Hindu pilgrimage, culture, and learning.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada4e5d1488190a2ab199625fdf05d |
completed | March 8, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235a8949881908496a1413ffa2658 |
completed | March 12, 2026, 3:40 a.m. |
Created at: March 8, 2026, 3:04 p.m.