Triple

T10611715
Position Surface form Disambiguated ID Type / Status
Subject King Thibaw Min E276022 entity
Predicate burialPlace P196 FINISHED
Object Ratnagiri, India E79536 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: Ratnagiri, India | Statement: [King Thibaw Min, burialPlace, Ratnagiri, India]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ratnagiri, India
Context triple: [King Thibaw Min, burialPlace, Ratnagiri, India]
  • A. Ratnagiri chosen
    Ratnagiri is a coastal city in Maharashtra, India, known for its Alphonso mangoes, historic forts, and scenic beaches along the Konkan coast.
  • B. Parbhani
    Parbhani is a significant city in the Marathwada region of Maharashtra, India, known as an important commercial and educational center.
  • C. Baramati
    Baramati is a town in the Pune district of Maharashtra, India, known as an agricultural and industrial hub with historical and political significance.
  • D. Igatpuri
    Igatpuri is a hill town and railway junction in Maharashtra, India, known for its scenic Western Ghats setting and as a key stop on the route between Mumbai and central/eastern India.
  • E. Khopoli
    Khopoli is an industrial town in Maharashtra, India, known for its manufacturing units, proximity to the Western Ghats, and location along the Mumbai–Pune route.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df5a1450819082ad445712fb7868 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95ec61b388190adee9b3577567709 completed April 10, 2026, 8:34 p.m.
Created at: April 8, 2026, 7:33 p.m.