Triple

T12129478
Position Surface form Disambiguated ID Type / Status
Subject Panvel E288896 entity
Predicate district P2709 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: [Panvel, district, Raigad district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raigad district
Context triple: [Panvel, district, 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. Kolhapur district
    Kolhapur district is an administrative region in the Indian state of Maharashtra, known for its historic temples, rich Maratha heritage, and production of Kolhapuri chappals and cuisine.
  • C. Ratnagiri
    Ratnagiri is a coastal city in Maharashtra, India, known for its Alphonso mangoes, historic forts, and scenic beaches along the Konkan coast.
  • D. Hingoli
    Hingoli is a city in the Indian state of Maharashtra, known as an administrative and commercial center in the Marathwada region.
  • E. Palghar district
    Palghar district is a coastal district in the state of Maharashtra, India, known for its tribal communities, industrial areas, and proximity to Mumbai.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158a2c2c8190aaff9d0cce177565 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6717defe48190bc63b83e2c276ebc completed May 2, 2026, 9:49 p.m.
Created at: April 8, 2026, 9:49 p.m.