Triple

T17759629
Position Surface form Disambiguated ID Type / Status
Subject Bara River E443334 entity
Predicate hasNearbyTown P3883 FINISHED
Object Bara 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: Bara | Statement: [Bara River, hasNearbyTown, Bara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bara
Context triple: [Bara River, hasNearbyTown, Bara]
  • A. Bara
    Bara is a town in central Sudan known as an agricultural and trading center in North Kordofan State.
  • B. Bara
    Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
  • C. Barara
    Barara is a town in the Ambala district of the northern Indian state of Haryana, known primarily as a local administrative and market center for surrounding rural areas.
  • D. Baraawe
    Baraawe is a historic coastal city in southern Somalia known as a key port and cultural center along the Indian Ocean.
  • E. Baras
    Baras is a coastal municipality located on the island province of Catanduanes in the Philippines, known for its rural communities and Pacific shoreline.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48421c3048190b26864b72aad0d70 completed April 19, 2026, 7:28 a.m.
Created at: April 10, 2026, 10:10 a.m.