Triple

T14753736
Position Surface form Disambiguated ID Type / Status
Subject 海河 E346677 entity
Predicate cityOnBanks P7935 FINISHED
Object 天津市 E31338 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: 天津市 | Statement: [海河, cityOnBanks, 天津市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 天津市
Context triple: [海河, cityOnBanks, 天津市]
  • A. Tianjin chosen
    Tianjin is a major port city and industrial hub in northern China, located near Beijing along the Bohai Sea.
  • B. 天津市中心城区
    天津市中心城区是天津市政治、经济和文化活动最为集中的核心城区,沿海河两岸分布着重要的商业区、历史街区和城市地标。
  • C. Tangshan Prefecture-level City
    Tangshan Prefecture-level City is an important industrial and port city in northeastern Hebei Province, China, known for its heavy industry, coal mining, and proximity to the Bohai Sea.
  • D. Tianjin Economic-Technological Development Area
    Tianjin Economic-Technological Development Area is a major industrial and high-tech development zone in Tianjin, China, known for its advanced manufacturing, foreign investment, and export-oriented economy.
  • E. Heping District, Tianjin
    Heping District, Tianjin is a central urban district of Tianjin, China, known for its historic architecture, commercial centers, and role as a core administrative and cultural area of the city.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d59df08190a86da5048358bd6e completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cea5d348190a84970da131292ee completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:30 a.m.