Triple
T2543361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fall of Raigad Fort |
E57838
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Raigad district |
E268104
|
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: Raigad district | Statement: [Fall of Raigad Fort, locatedIn, Raigad district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raigad district Context triple: [Fall of Raigad Fort, locatedIn, Raigad district]
-
A.
Raigad district
chosen
Raigad district is a coastal district in the Indian state of Maharashtra, known for its ports, historical forts, and proximity to Mumbai.
-
B.
Ratnagiri
Ratnagiri is a coastal city in Maharashtra, India, known for its Alphonso mangoes, historic forts, and scenic beaches along the Konkan coast.
-
C.
Nashik district
Nashik district is an administrative region in the state of Maharashtra, India, known for its wine production, religious significance, and the city of Nashik as its headquarters.
-
D.
Buldhana
Buldhana is a district in the Indian state of Maharashtra known for its Marathi-speaking population and use of the Varhadi dialect.
-
E.
Sangli
Sangli is a city in the Indian state of Maharashtra known for its fertile agricultural surroundings and prominence in sugar and turmeric production.
- 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2bf6cac819083a9ab9d041d8641 |
completed | March 7, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d073d2c81908c769a99b0942089 |
completed | March 9, 2026, 11:51 p.m. |
Created at: March 6, 2026, 9:47 p.m.