Triple
T13071099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Auraiya district |
E329457
|
entity |
| Predicate | headquarters |
P62
|
FINISHED |
| Object | Auraiya |
E1018415
|
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: Auraiya | Statement: [Auraiya district, headquarters, Auraiya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auraiya Context triple: [Auraiya district, headquarters, Auraiya]
-
A.
Auraiya
chosen
Auraiya is a city in the Indian state of Uttar Pradesh known as an administrative and commercial center in the central part of the state.
-
B.
Aurai
Aurai are minor wind nymphs in Greek mythology associated with breezes and the lower atmosphere.
-
C.
Akhras
Akhras is a Syrian-origin family name best known for being the maiden surname of Asma al-Assad, the First Lady of Syria.
-
D.
Dendérah
Dendérah is an ancient Egyptian temple complex on the west bank of the Nile, best known for its well-preserved Temple of Hathor and richly decorated astronomical ceilings.
-
E.
Ypati
Ypati is a historic town in central Greece, known for its mountainous setting near Mount Oeta and its role in various periods of Greek history.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980ee6130819095d835e7ff6a8c5b |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d60510dc81909e0cba8b63a50d9c |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 9 p.m.