Triple

T4571076
Position Surface form Disambiguated ID Type / Status
Subject Port of Tangshan E123029 entity
Predicate locatedIn P40 FINISHED
Object Tangshan E123029 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: Tangshan | Statement: [Port of Tangshan, locatedIn, Tangshan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tangshan
Context triple: [Port of Tangshan, locatedIn, Tangshan]
  • A. Tangshan chosen
    Tangshan is a major industrial city in northern China, historically known for its coal mining, steel production, and the devastating 1976 earthquake.
  • B. Qinhuangdao
    Qinhuangdao is a coastal port city in northeastern China known for its beaches, seaport, and proximity to the eastern end of the Great Wall.
  • C. Sendai
    Sendai is the largest city in Japan’s Tōhoku region, known for its lush greenery, historic sites, and status as a major economic and cultural center in northeastern Honshu.
  • D. Taian
    Taian is a prefecture-level city in eastern China's Shandong province, best known as the gateway to the sacred Mount Tai.
  • E. Huludao
    Huludao is a coastal city in southwestern Liaoning Province, China, known for its port, shipbuilding industry, and seaside tourism.
  • 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_69bd46466c7081909d07f36be2d08804 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd58c5afa48190bb8505e2cc16e89f completed March 20, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bde07f98748190b5f1a521aec28f51 completed March 21, 2026, 12:04 a.m.
Created at: March 20, 2026, 1:10 p.m.