Triple

T3293342
Position Surface form Disambiguated ID Type / Status
Subject Yobe State E69151 entity
Predicate hasLocalGovernmentArea P8215 FINISHED
Object Potiskum E345311 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: Potiskum | Statement: [Yobe State, hasLocalGovernmentArea, Potiskum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Potiskum
Context triple: [Yobe State, hasLocalGovernmentArea, Potiskum]
  • A. Potiskum chosen
    Potiskum is a major commercial and population center in northeastern Nigeria, known especially for its bustling markets and strategic location in Yobe State.
  • B. Palilula
    Palilula is one of the urban municipalities of Belgrade, Serbia, encompassing both central city neighborhoods and outlying suburban and rural areas.
  • C. Patigi
    Patigi is a town and local government area in central Nigeria known for its Nupe cultural heritage and proximity to the River Niger.
  • D. Tumpat
    Tumpat is a coastal town and district in northeastern Kelantan, Malaysia, known for its fishing communities and role as a transport hub near the Thai border.
  • E. Pochutec
    Pochutec is an extinct Uto-Aztecan language once spoken in the Pochutla region of Oaxaca, Mexico.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb074f35081909dd3c8a09544b5f1 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3cfec98819094208d2cb6e459ea completed March 12, 2026, 5:11 p.m.
Created at: March 8, 2026, 3:10 p.m.