Triple

T36226897
Position Surface form Disambiguated ID Type / Status
Subject Susan Morrow E891123 entity
Predicate waitsAt P163155 FINISHED
Object restaurant 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: restaurant | Statement: [Susan Morrow, waitsAt, restaurant]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: waitsAt
Context triple: [Susan Morrow, waitsAt, restaurant]
  • A. attendsTo
    Indicates that one entity directs care, attention, or service toward another entity or task.
  • B. waitsArePerformedBy chosen
    Indicates that instances of waiting are carried out or executed by a particular agent or entity.
  • C. awaited
    Indicates that one entity is expected or looked forward to by another, typically involving a period of waiting for its arrival, occurrence, or response.
  • D. eventuallyIn
    Indicates that one entity will, at some later time or in the long run, come to be located in, belong to, or be contained within another entity or state.
  • E. isAt
    Indicates that one entity is located at or present in the place or position of another entity.
  • 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_69f76e4387048190a1b27bcbf4ec7423 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b59fb78c8190a5f9e15688b1cdf1 completed May 3, 2026, 8:52 p.m.
PD Predicate disambiguation batch_69f7b4c44390819084fb5558b354658f completed May 3, 2026, 8:49 p.m.
Created at: May 3, 2026, 4:09 p.m.