Triple

T3259642
Position Surface form Disambiguated ID Type / Status
Subject Accra E68377 entity
Predicate nearbyCity P350 FINISHED
Object Tema E182923 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: Tema | Statement: [Accra, nearbyCity, Tema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tema
Context triple: [Accra, nearbyCity, Tema]
  • A. Tema chosen
    Tema is a major port and industrial city on the Atlantic coast of Ghana, located east of the capital Accra.
  • B. Tema
    Tema is a biblical figure mentioned in the Old Testament, traditionally regarded as a descendant of Ishmael and associated with a region or tribe in northwestern Arabia.
  • C. Tems
    Tems is a Nigerian singer, songwriter, and producer known for her soulful Afrobeat and R&B sound and for her global breakout collaborations, including "Essence" with Wizkid.
  • D. Tevaram
    Tevaram is a revered collection of early medieval Tamil devotional hymns dedicated to Lord Shiva, foundational to Tamil Shaivite bhakti tradition and liturgy.
  • E. Titel
    Titel is a small town in northern Serbia, situated in the Vojvodina region along the Tisa River.
  • 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adafa4f40c81909adfd0f7f568e3ce completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ed941cc81909c35853e793d6ce5 completed March 12, 2026, 10 a.m.
Created at: March 8, 2026, 3:09 p.m.