Triple
T8944534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jyotiba Phule Nagar district |
E213188
|
entity |
| Predicate | administrativeHeadquarters |
P62
|
FINISHED |
| Object | Amroha |
E769461
|
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: Amroha | Statement: [Jyotiba Phule Nagar district, administrativeHeadquarters, Amroha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amroha Context triple: [Jyotiba Phule Nagar district, administrativeHeadquarters, Amroha]
-
A.
Amroha
chosen
Amroha is a town and municipal board in Uttar Pradesh, India, known for its historical significance and cultural heritage.
-
B.
Azamgarh
Azamgarh is a city in the Purvanchal region of eastern Uttar Pradesh, India, known as an important cultural and educational center.
-
C.
Jaunpur
Jaunpur is a historic city in the Indian state of Uttar Pradesh, known for its medieval architecture and cultural heritage.
-
D.
Hajipur
Hajipur is a prominent city in the Indian state of Bihar, known as an important railway and commercial hub located near the state capital, Patna.
-
E.
Chhapra
Chhapra is a city in the Indian state of Bihar, known as the administrative headquarters of Saran district and a regional commercial and transportation hub along the Ganges River.
- 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_69ca839843408190a39069a029a89f15 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc66da71808190b4454b2f95aae0bd |
completed | April 1, 2026, 12:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb887378819093a48d7035609951 |
completed | April 3, 2026, 3:23 p.m. |
Created at: March 30, 2026, 6:59 p.m.