Triple
T6967838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Uttar Pradesh |
E161531
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Etah |
E485174
|
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: Etah | Statement: [Western Uttar Pradesh, majorCity, Etah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Etah Context triple: [Western Uttar Pradesh, majorCity, Etah]
-
A.
Etah
chosen
Etah is a town and administrative center in the Indian state of Uttar Pradesh, historically associated with the cultural Braj region.
-
B.
Etah district
Etah district is an administrative district in the Indian state of Uttar Pradesh, known for its location in western Uttar Pradesh and its inclusion in the culturally significant Braj region.
-
C.
Hazratganj
Hazratganj is a historic and bustling commercial and cultural hub in Lucknow, known for its colonial-era architecture, shopping arcades, and vibrant street life.
-
D.
Dahod
Dahod is a town in the Indian state of Gujarat, historically notable as the birthplace of the Mughal emperor Aurangzeb.
-
E.
Umaria
Umaria is a town and district headquarters in the central Indian state of Madhya Pradesh, known as a gateway to the nearby Bandhavgarh National Park.
- 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db1373d88190967b42630f8688d6 |
completed | March 27, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76195e69c8190a8f7d9ca223a96e6 |
completed | March 28, 2026, 5:05 a.m. |
Created at: March 27, 2026, 2:30 p.m.