Triple

T23830
Position Surface form Disambiguated ID Type / Status
Subject Empire State Building E472 entity
Predicate numberOfFloors P1728 FINISHED
Object 102 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: 102 | Statement: [Empire State Building, numberOfFloors, 102]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfFloors
Context triple: [Empire State Building, numberOfFloors, 102]
  • A. numberOfElevators
    Indicates the total count of elevators associated with a given entity or location.
  • B. numberOfBasementLevels
    Indicates the total count of basement levels associated with a given structure or property.
  • C. numberOfStairs
    Indicates the quantity of stairs associated with or present in a given context or structure.
  • D. numberOfHouses
    Indicates the quantity of houses associated with a given entity or context.
  • E. hasNumberOfHouses
    Indicates the quantity of houses associated with a given entity.
  • 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a246e94ca881908f7a7d2c0b293033 completed Feb. 28, 2026, 1:37 a.m.
PD Predicate disambiguation batch_69a246560af88190961ea00b35cf9388 completed Feb. 28, 2026, 1:35 a.m.
PDg Predicate description generation batch_69a246e7fac481909b0c500d4500650e completed Feb. 28, 2026, 1:37 a.m.
Created at: Feb. 28, 2026, 1:34 a.m.