Triple

T13766790
Position Surface form Disambiguated ID Type / Status
Subject Obudu people E330767 entity
Predicate hasSettlement P1068 FINISHED
Object Obudu town E306874 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: Obudu town | Statement: [Obudu people, hasSettlement, Obudu town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Obudu town
Context triple: [Obudu people, hasSettlement, Obudu town]
  • A. Obudu chosen
    Obudu is a prominent town in southeastern Nigeria known for its scenic highlands and proximity to the Obudu Mountain Resort in Cross River State.
  • B. Tarhuna
    Tarhuna is a town in northwestern Libya, southeast of Tripoli, known for its strategic role and tribal influence during the Libyan civil conflicts.
  • C. Burao
    Burao is a key commercial and administrative city in central Somaliland, known as a major livestock trading hub in the region.
  • D. Harar
    Harar is a historic fortified city in eastern Ethiopia renowned for its ancient Islamic heritage, distinctive city walls, and status as a UNESCO World Heritage Site.
  • E. Shendi
    Shendi is a historic city in northern Sudan known as a regional commercial center and gateway to nearby ancient Nubian archaeological sites.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0227f2c48190983ccc9395e4e7a2 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8d28cc88190af46b86473af0a1c completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:10 p.m.