Triple

T9542844
Position Surface form Disambiguated ID Type / Status
Subject Planernaya E230198 entity
Predicate numberOfVestibules P89704 FINISHED
Object 2 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: 2 | Statement: [Planernaya, numberOfVestibules, 2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfVestibules
Context triple: [Planernaya, numberOfVestibules, 2]
  • A. numberOfCorridors
    Indicates the total count of corridors associated with or contained within a given entity or structure.
  • B. numberOfChambers
    Indicates the count of distinct chambers or compartments associated with an entity.
  • C. numberOfHalls
    Indicates the quantity of halls associated with a given entity or location.
  • D. numberOfPavilions
    Indicates the total count of pavilions associated with a given entity or context.
  • E. hasNumberOfEntrances
    Indicates the relationship that specifies how many entrances an entity possesses.
  • F. None of above. chosen

Provenance (4 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_69ca847c70b8819088a0a0bad64a50d6 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98e9be048190bf1f01884ff7c362 completed April 1, 2026, 10:15 p.m.
PD Predicate disambiguation batch_69ccd58bd21881908b860e3ee469af13 completed April 1, 2026, 8:21 a.m.
PDg Predicate description generation batch_69ccd93e90048190a2b0d7c5c195ba98 completed April 1, 2026, 8:37 a.m.
Created at: March 30, 2026, 8:01 p.m.