Triple

T1508496
Position Surface form Disambiguated ID Type / Status
Subject Time-Life Building E33956 entity
Predicate hasLobbyFeature P182 FINISHED
Object large murals 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: large murals | Statement: [Time-Life Building, hasLobbyFeature, large murals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLobbyFeature
Context triple: [Time-Life Building, hasLobbyFeature, large murals]
  • A. hasLobby
    Indicates that an entity includes or is equipped with a lobby area as part of its premises or structure.
  • B. hasLobbyName
    Indicates that an entity has a specific name assigned to its lobby area.
  • C. hasFeature chosen
    Indicates that an entity possesses, exhibits, or includes a particular characteristic, attribute, or component.
  • D. lobbies
    Indicates that one entity attempts to influence the decisions, actions, or policies of another entity, typically an authority or decision-making body.
  • E. hasSkyLobby
    Indicates that a building includes a sky lobby, a shared floor located above ground level that serves as a transfer or common area for occupants.
  • 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_69a885f352a4819099b24ff15489dede completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a8e2dd93dc8190a78443900e8d5564 completed March 5, 2026, 1:56 a.m.
PD Predicate disambiguation batch_69a88728c150819095cdcdbfcabf4249 completed March 4, 2026, 7:25 p.m.
Created at: March 4, 2026, 7:24 p.m.