Triple

T12210594
Position Surface form Disambiguated ID Type / Status
Subject Longhai Railway E290945 entity
Predicate connectsCity P4245 FINISHED
Object Baoji E221560 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: Baoji | Statement: [Longhai Railway, connectsCity, Baoji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baoji
Context triple: [Longhai Railway, connectsCity, Baoji]
  • A. Baoji chosen
    Baoji is a major industrial and transportation hub city in western Shaanxi Province, China, known for its manufacturing base and historical sites.
  • B. Tongchuan
    Tongchuan is a prefecture-level city in central Shaanxi Province, China, historically known for its coal mining industry and location on the Loess Plateau.
  • C. Xianyang
    Xianyang was the capital city of the Qin dynasty and a major political and cultural center in ancient China.
  • D. Hanzhong
    Hanzhong is a historic prefecture-level city in southwestern Shaanxi, China, known as a key gateway between northern and southern China and for its rich cultural and natural landscapes.
  • E. Shangluo
    Shangluo is a prefecture-level city in southeastern Shaanxi, China, known for its mountainous terrain, rich natural resources, and historical sites.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c7ed4688190b0546b784e36b0ec completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e5666f48190a28eed761e7b9210 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:51 p.m.