Triple

T17913614
Position Surface form Disambiguated ID Type / Status
Subject Battle of Gao E447870 entity
Predicate location P40 FINISHED
Object Gao NE NERFINISHED

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: [Battle of Gao, location, Gao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gao
Context triple: [Battle of Gao, location, 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 (2 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a30461848190b932a45807329216 completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 10:20 a.m.