Triple

T9890395
Position Surface form Disambiguated ID Type / Status
Subject Wentian laboratory module E181435 entity
Predicate abbreviation P43 FINISHED
Object Wentian E185896 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: Wentian | Statement: [Wentian laboratory module, abbreviation, Wentian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wentian
Context triple: [Wentian laboratory module, abbreviation, Wentian]
  • A. Wentian chosen
    Wentian is a Chinese space laboratory module that serves as a key component of the Tiangong space station, providing additional research facilities, living space, and support systems for taikonauts in orbit.
  • B. Mengtian
    Mengtian is a Chinese space laboratory module that forms part of the Tiangong space station, supporting scientific experiments and research in orbit.
  • C. Tianhe
    Tianhe is the core module of China’s Tiangong space station, serving as its main control, living, and docking hub in low Earth orbit.
  • D. Tianhe
    Tianhe is a town in Wuhan, Hubei Province, China, best known for hosting Wuhan Tianhe International Airport, a major air transport hub in central China.
  • E. Tiangong-2 space laboratory
    Tiangong-2 space laboratory was China’s second prototype space station module, used to test key technologies for future modular space stations and support crewed and cargo missions in low Earth orbit.
  • 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_69ca8283a6708190801af7a25a7ebb9f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb47dfa908190884e96e5e5d6f41f completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d15df30819092ae896786564478 completed April 5, 2026, 10:44 a.m.
Created at: March 30, 2026, 8:39 p.m.