Triple

T12150049
Position Surface form Disambiguated ID Type / Status
Subject West African Islam E289428 entity
Predicate historicalCenter P2536 FINISHED
Object Gao E144681 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: Gao | Statement: [West African Islam, historicalCenter, Gao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gao
Context triple: [West African Islam, historicalCenter, Gao]
  • A. Gao
    Gao is a Chinese surname historically associated with the Jewish community of Kaifeng, one of the oldest Jewish diasporas in China.
  • B. Gao chosen
    Gao is a historic city in eastern Mali that served as a major trading center and former capital of the Songhai Empire along the Niger River.
  • C. Gao
    Gao is an Oceanic language of the Southeast Solomonic group spoken in the Solomon Islands.
  • D. Guan
    Guan is a common Chinese surname with historical roots and multiple romanized variants, including Kwan.
  • E. Gao Yin
    Gao Yin was an emperor of the Northern Qi dynasty in ancient China, known for his brief and turbulent reign amid intense court intrigue and power struggles.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915ad6ef08190b334a97d6ab41487 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f698c5648190a5a29e08f2b7d8ab completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.