Triple

T28794887
Position Surface form Disambiguated ID Type / Status
Subject Saigon–Loc Ninh railway line E727057 entity
Predicate partlyInUse P128647 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: [Saigon–Loc Ninh railway line, partlyInUse, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partlyInUse
Context triple: [Saigon–Loc Ninh railway line, partlyInUse, true]
  • A. partiallyReusable
    Indicates that an entity can be reused to some extent but not fully or indefinitely, implying limited or partial reusability.
  • B. partiallyClosed
    Indicates that something is not fully closed, but also not fully open, occupying an intermediate state of closure.
  • C. isPartially
    Indicates that one entity is included within another to some extent, but not completely or fully.
  • D. partiallyReleased
    Indicates that an entity has been released to some extent but not yet fully or completely released.
  • E. isPartlyOperational chosen
    Indicates that an entity is functioning to some extent but not at full or normal operational capacity.
  • 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_69f0319b7c44819085736bcc256185e6 completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f65f7731e4819099d5bd3d915ee266 completed May 2, 2026, 8:32 p.m.
PD Predicate disambiguation batch_69f65c2198208190a3954086c22cfcbf completed May 2, 2026, 8:18 p.m.
Created at: April 28, 2026, 6:24 a.m.