Triple

T14562186
Position Surface form Disambiguated ID Type / Status
Subject Gao Kingdom E341693 entity
Predicate hasUrbanCenter P2106 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: [Gao Kingdom, hasUrbanCenter, Gao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gao
Context triple: [Gao Kingdom, hasUrbanCenter, 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. Gaoxiu
    Gaoxiu was the courtesy name of Zhu Biao, the Crown Prince of the Ming dynasty and eldest son of the Hongwu Emperor.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38afa8881909c9151b7620949ae completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde16830c0819090a97b073c8e642d completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:23 a.m.