Triple

T19935822
Position Surface form Disambiguated ID Type / Status
Subject Rewa railway station E479171 entity
Predicate nearbyCity P350 FINISHED
Object Rewa NE NERFINISHED

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: Rewa | Statement: [Rewa railway station, nearbyCity, Rewa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rewa
Context triple: [Rewa railway station, nearbyCity, Rewa]
  • A. Rewa
    Rewa is an alternative name for the Narmada River, one of central India's major and holiest rivers.
  • B. Rewa chosen
    Rewa is a prominent city in northeastern Madhya Pradesh, India, known historically as the seat of the former Rewa princely state and for its cultural and administrative significance in the region.
  • C. Rewa
    Rewa is a coastal village in northern Poland situated along the Baltic Sea, known for its sandy beaches and popular windsurfing and kitesurfing conditions.
  • D. Kareli
    Kareli is a town in central Georgia that serves as an important local center within the Shida Kartli region.
  • E. Rewal
    Rewal is a seaside village and popular tourist resort on the Baltic coast in northwestern Poland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a173a448190a25cb859803e3afc completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.