Triple

T9928235
Position Surface form Disambiguated ID Type / Status
Subject Toyohashi E192576 entity
Predicate sisterCity P1072 FINISHED
Object Tianjin, China 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: Tianjin, China | Statement: [Toyohashi, sisterCity, Tianjin, China]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tianjin, China
Context triple: [Toyohashi, sisterCity, Tianjin, China]
  • A. Tianjin chosen
    Tianjin is a major port city and industrial hub in northern China, located near Beijing along the Bohai Sea.
  • B. Dongli District, Tianjin
    Dongli District is an administrative district of Tianjin, China, known for hosting the city’s main air gateway, Tianjin Binhai International Airport, and serving as an important transport and industrial hub.
  • C. Hongqiao District, Tianjin
    Hongqiao District is a central urban district of Tianjin, China, known for its dense residential areas, commercial activity, and important transport links including Tianjin West Railway Station.
  • D. Ningbo, China
    Ningbo, China is a major port city in eastern Zhejiang province known for its long maritime history and role as a key hub in regional and international trade.
  • E. Port of Tianjin
    The Port of Tianjin is one of China’s largest and busiest seaports, serving as a major maritime gateway to Beijing and the industrial north.
  • 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_69ca82dd978c8190947124ab0d3315ac completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb59d7ad08190982a1584547190bd completed April 2, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d228cab0fc81908ff5fad6916c1bab completed April 5, 2026, 9:18 a.m.
Created at: March 30, 2026, 8:43 p.m.