Triple

T9486684
Position Surface form Disambiguated ID Type / Status
Subject Trans-Saharan trade routes E228779 entity
Predicate majorTerminus P388 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: [Trans-Saharan trade routes, majorTerminus, Gao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gao
Context triple: [Trans-Saharan trade routes, majorTerminus, 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd8051303881909566126a2688e41c completed April 1, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d1326b8819084c6d9490b7a96dc completed April 4, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:55 p.m.