Triple

T13607250
Position Surface form Disambiguated ID Type / Status
Subject Le Monde E325095 entity
Predicate firstIssueLocation P70450 FINISHED
Object Paris E568 NE FINISHED

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: [Le Monde, firstIssueLocation, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [Le Monde, firstIssueLocation, Paris]
  • A. Paris chosen
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • B. Paris
    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 a 2017 electronic dance music single by The Chainsmokers that became a major international hit.
  • 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: firstIssueLocation
Context triple: [Le Monde, firstIssueLocation, Paris]
  • A. firstLocation
    Indicates the initial or primary place where an entity is situated, originates, or where an event or relationship begins.
  • B. firstSeriesLocation chosen
    Indicates the location where a series first took place, was set, or was initially released.
  • C. firstAppearsAtLocation
    Indicates the initial location where an entity is first observed, introduced, or comes into existence within a given context or sequence.
  • D. firstIssueNumber
    Indicates the issue number at which something (such as a series, feature, or character) first appeared or began.
  • E. firstRaisedIn
    Indicates the context (such as time, place, or source) in which an issue, idea, or topic was initially brought up or introduced.
  • F. None of above.

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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbb9ee3f081909056dc1a92c40b7a completed April 12, 2026, 3:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794281fb48190882f164df1def07e completed May 3, 2026, 6:30 p.m.
PD Predicate disambiguation batch_69dbae1b3ee481909bd43ded6227a3e5 completed April 12, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:50 p.m.