Triple

T22394552
Position Surface form Disambiguated ID Type / Status
Subject ABC Society E553595 entity
Predicate locationOfFictionalActivity P87807 FINISHED
Object Paris NE NERFINISHED

How this triple was built (3 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: Paris | Statement: [ABC Society, locationOfFictionalActivity, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [ABC Society, locationOfFictionalActivity, Paris]
  • A. Paris
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • B. Paris chosen
    Paris is a prince of Troy in Greek mythology, best known for judging the beauty contest of the goddesses and for abducting Helen, which sparked the Trojan War.
  • C. Paris
    Paris is a major Chilean department store and retail chain offering a wide range of apparel, home goods, and consumer products.
  • D. Paris
    Paris is a budget-oriented AMD Sempron processor core designed for entry-level desktop computing.
  • E. Paris
    Paris is an American hip hop artist and producer known for his politically charged, socially conscious lyrics and militant themes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locationOfFictionalActivity
Context triple: [ABC Society, locationOfFictionalActivity, Paris]
  • A. placeOfFictionalActivity chosen
    Indicates the location or setting where a fictional event, action, or storyline takes place.
  • B. locatedInFictionalEvent
    Indicates that one entity (typically a place, object, or character) exists or occurs within the context or setting of a fictional event.
  • C. locatedNearFiction
    Indicates that one fictional entity or place is situated close to another within an imagined or narrative context.
  • D. basedInFictionalWorkLocation
    Indicates that an entity’s location or setting is situated within a fictional place as depicted in a specific creative work.
  • E. setInFictionalLocation
    Indicates that an event, story, or narrative takes place within a fictional or imagined location rather than a real-world setting.
  • 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1585dac3c8190bc221f35b3eefa3f completed April 29, 2026, 1:01 a.m.
PD Predicate disambiguation batch_69e73015484c8190a9a0b9f554b61a81 completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 8:45 p.m.