Triple

T14098996
Position Surface form Disambiguated ID Type / Status
Subject Agatu E339329 entity
Predicate borders P224 FINISHED
Object Apa E338086 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: Apa | Statement: [Agatu, borders, Apa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apa
Context triple: [Agatu, borders, Apa]
  • A. Apa chosen
    Apa is a local government area in Benue State, Nigeria, traditionally inhabited by the Idoma people.
  • B. Apoi
    Apoi is an ethnic group in southwestern Nigeria closely related to and located near the Ilaje people.
  • C. Ang
    Ang is a casual nickname commonly used for the given name Angela.
  • D. Parea
    Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
  • E. Akapana
    Akapana is a monumental terraced pyramid and ceremonial complex at the ancient city of Tiwanaku, serving as one of the most important religious and political centers of the Middle Horizon Andes.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fba7c10819095b1299b7b4f0310 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0adfc28819097a1bfd56739c286 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:22 p.m.