Triple

T16350442
Position Surface form Disambiguated ID Type / Status
Subject Palembang LRT E397047 entity
Predicate hasCarsPerTrainset P64438 FINISHED
Object 3 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: 3 | Statement: [Palembang LRT, hasCarsPerTrainset, 3]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCarsPerTrainset
Context triple: [Palembang LRT, hasCarsPerTrainset, 3]
  • A. vehiclesPerTrain
    Indicates the number of vehicles that are attached to or make up a single train.
  • B. numberOfTrainsetsBuilt
    Indicates the total count of trainsets that have been constructed or produced.
  • C. numberOfCarsPerSet chosen
    Indicates the quantity of cars that are included within a single set.
  • D. numberOfPowerCars
    Indicates the relationship specifying how many power cars (self-propelled units) are associated with or contained in a given train or rail consist.
  • E. numberOfTrailerCarsBuilt
    Indicates the total count of trailer cars that have been constructed.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2facb37d0819093fe45446f1e79c1 completed April 18, 2026, 3:30 a.m.
PD Predicate disambiguation batch_69e226f37ecc819082af58b29b4e39d1 completed April 17, 2026, 12:26 p.m.
Created at: April 10, 2026, 5:07 a.m.