Triple

T15661774
Position Surface form Disambiguated ID Type / Status
Subject Minkowski metric η_{μν} E376582 entity
Predicate usedAsBackgroundIn P98 FINISHED
Object linearized gravity 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: linearized gravity | Statement: [Minkowski metric η_{μν}, usedAsBackgroundIn, linearized gravity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedAsBackgroundIn
Context triple: [Minkowski metric η_{μν}, usedAsBackgroundIn, linearized gravity]
  • A. usedOn
    Indicates that one entity is applied to, operated on, or otherwise utilized in relation to another entity.
  • B. usedFor chosen
    Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
  • C. usedAsLocationIn
    Indicates that something serves as the setting or place where another event, action, or situation occurs.
  • D. isUsedAs
    Indicates that one entity serves a particular function, role, or purpose as another entity.
  • E. alsoUsedIn
    Indicates that something is additionally employed, applied, or present in another context, setting, or use case beyond the primary one.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f0e2668819092e52712cddd0721 completed April 16, 2026, 2:53 a.m.
PD Predicate disambiguation batch_69deda8b36a4819081cb5708fe77ef51 completed April 15, 2026, 12:23 a.m.
Created at: April 10, 2026, 4:15 a.m.