Triple

T28599846
Position Surface form Disambiguated ID Type / Status
Subject Tiangong-2 E723877 entity
Predicate controlledReentry P43711 FINISHED
Object true LITERAL 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: true | Statement: [Tiangong-2, controlledReentry, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: controlledReentry
Context triple: [Tiangong-2, controlledReentry, true]
  • A. reentryProtection
    Indicates that an entity is safeguarded against harmful effects or risks associated with reentering a system, environment, or jurisdiction.
  • B. reentryControl chosen
    Indicates that an entity manages or regulates the process of returning or re-entering into a system, environment, or state.
  • C. controlledFor
    Indicates that the influence or effect of a specified factor has been accounted for or neutralized when assessing the relationship between other variables or entities.
  • D. controlledIn
    Indicates that one entity exercised control, authority, or governance over another entity within a specific context or domain.
  • E. notReentrant
    Indicates that the associated function or operation cannot be safely invoked again (re-entered) before a previous invocation has fully completed.
  • F. None of above.

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_69f01d80b1908190980594837604b8c7 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f7be53890081909b1d93f30a8f31c6 completed May 3, 2026, 9:29 p.m.
PD Predicate disambiguation batch_69f7bccacbac8190978976324c67db28 completed May 3, 2026, 9:23 p.m.
Created at: April 28, 2026, 4:23 a.m.