Triple

T12834865
Position Surface form Disambiguated ID Type / Status
Subject Obudu Mountain Resort E306881 entity
Predicate near P350 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 Mountain Resort, near, Obudu town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Obudu town
Context triple: [Obudu Mountain Resort, near, 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96fb1c7248190bb6e644e041d192e completed April 10, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a54838888190804202e45a55de48 completed May 3, 2026, 1:30 a.m.
Created at: April 9, 2026, 5:34 p.m.