Triple
T3446543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Razia Sultana |
E72690
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Kaithal |
E358967
|
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: Kaithal | Statement: [Razia Sultana, associatedWith, Kaithal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaithal Context triple: [Razia Sultana, associatedWith, Kaithal]
-
A.
Kaithal
chosen
Kaithal is a historic town in the Indian state of Haryana, known for its medieval heritage and association with the Delhi Sultanate.
-
B.
Ambala
Ambala is a historic city and important military and transportation hub in the northern Indian state of Haryana.
-
C.
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.
-
D.
Kapurthala
Kapurthala is a historic city in the Indian state of Punjab, noted for its distinctive Indo-French architectural heritage and former princely-state status.
-
E.
Bikaner
Bikaner is a historic city in the Indian state of Rajasthan, known for its desert landscape, grand forts, and rich Rajasthani culture.
- 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba6efb188190b989fa4d6f28e16b |
completed | March 8, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b367fc4e8c81909fb57634113369fa |
completed | March 13, 2026, 1:27 a.m. |
Created at: March 8, 2026, 3:16 p.m.