Triple

T28996894
Position Surface form Disambiguated ID Type / Status
Subject MIThenge E736188 entity
Predicate occursInBuilding P168640 FINISHED
Object MIT Building 7 to Building 10 axis 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: MIT Building 7 to Building 10 axis | Statement: [MIThenge, occursInBuilding, MIT Building 7 to Building 10 axis]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: occursInBuilding
Context triple: [MIThenge, occursInBuilding, MIT Building 7 to Building 10 axis]
  • A. isLocatedInBuilding
    Indicates that one entity is physically situated within or inside the structure of a particular building.
  • B. locatedInBuildingWithFeature
    Indicates that something is located in a building that possesses a specified feature or characteristic.
  • C. tookPlaceInBuilding
    Indicates that an event or action occurred within the physical premises of a specific building.
  • D. locatedInBuildingUsedAs
    Indicates that something is located inside a building that is being used for a specified purpose or function.
  • E. hostedInBuilding
    Indicates that an event, activity, or service takes place within or is accommodated inside a specific building.
  • 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_69f077eacd0481908ef0bafd74491cd0 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f67595fa7c8190b6e9f7a8c700dd97 completed May 2, 2026, 10:07 p.m.
PD Predicate disambiguation batch_69f673c4abec8190bc2379e66f4af0a9 completed May 2, 2026, 9:59 p.m.
PDg Predicate description generation batch_69f674df80b08190adb7f7531083bbb1 completed May 2, 2026, 10:04 p.m.
Created at: April 28, 2026, 9:31 a.m.