Triple

T3912625
Position Surface form Disambiguated ID Type / Status
Subject Hillhead subway station E87357 entity
Predicate hasRefurbishmentFeature P8964 FINISHED
Object new concourse 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: new concourse | Statement: [Hillhead subway station, hasRefurbishmentFeature, new concourse]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRefurbishmentFeature
Context triple: [Hillhead subway station, hasRefurbishmentFeature, new concourse]
  • A. renovationFeature chosen
    Indicates that an entity has a specific renovation-related characteristic, element, or improvement associated with it.
  • B. hasRenovation
    Indicates that an entity has undergone, is undergoing, or is associated with a renovation process or renovation event.
  • C. renovatedAfter
    Indicates that one entity was renovated at a later time than another entity.
  • D. renovatedFrom
    Indicates that one entity has been updated, improved, or restored by modifying or reworking an earlier version represented by another entity.
  • E. hasReconstructionWork
    Indicates that an entity is undergoing, has undergone, or is associated with reconstruction or restoration work.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef188b474819087680db42b04ecdd completed March 9, 2026, 4:12 p.m.
PD Predicate disambiguation batch_69aee75eedcc81908088ff4dbb8be56b completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:22 p.m.