Triple

T3142647
Position Surface form Disambiguated ID Type / Status
Subject Champaran E65685 entity
Predicate railwayJunction P14465 FINISHED
Object Bettiah E295116 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: Bettiah | Statement: [Champaran, railwayJunction, Bettiah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bettiah
Context triple: [Champaran, railwayJunction, Bettiah]
  • A. Bettiah chosen
    Bettiah is a prominent town and administrative center in the West Champaran district of the Indian state of Bihar, known historically for its role in the indigo movement and regional trade.
  • B. Basti
    Basti is a common German diminutive form of the given name Sebastian.
  • C. Kadmat
    Kadmat is a coral island in India’s Lakshadweep archipelago, known for its white-sand beaches, clear lagoons, and vibrant marine life that make it a popular destination for snorkeling and diving.
  • D. Haran
    Haran is an ancient city in northern Mesopotamia known from the Hebrew Bible as a key dwelling place of the patriarch Abraham before his journey to Canaan.
  • E. Barvikha
    Barvikha is an affluent suburban settlement west of Moscow, known for its luxury residences, elite dachas, and high-profile residents from Russia’s political and business elite.
  • 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_69ad8582f564819088c27e1f96153938 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada579b07c8190a7b316f499911a2d completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235b6685c8190b88501d7b2ad0d25 completed March 12, 2026, 3:40 a.m.
Created at: March 8, 2026, 3:05 p.m.