Triple

T17700149
Position Surface form Disambiguated ID Type / Status
Subject Antony, Hauts-de-Seine E441274 entity
Predicate connectivityTo P14324 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: [Antony, Hauts-de-Seine, connectivityTo, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [Antony, Hauts-de-Seine, connectivityTo, 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 budget-oriented AMD Sempron processor core designed for entry-level desktop computing.
  • D. Paris
    Paris is an American hip hop artist and producer known for his politically charged, socially conscious lyrics and militant themes.
  • E. Paris
    Paris is a major Chilean department store and retail chain offering a wide range of apparel, home goods, and consumer products.
  • 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: connectivityTo
Context triple: [Antony, Hauts-de-Seine, connectivityTo, Paris]
  • A. connectsTo
    Indicates a relationship where one entity is linked or joined to another, allowing interaction, communication, or transfer between them.
  • B. connectivity chosen
    Indicates...the existence, degree, or quality of a link or communication pathway between entities, allowing interaction or information flow between them.
  • C. connectionTo
    Indicates a relationship in which one entity is linked, associated, or otherwise related to another entity.
  • D. connectsUnder
    Indicates that one entity forms a connection to another entity by passing beneath or under it.
  • E. connectsLocation
    Indicates a relationship where one entity serves as a link or route that joins or provides access between two locations.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e471597d5c8190bd06337239739cd7 completed April 19, 2026, 6:08 a.m.
PD Predicate disambiguation batch_69e3cde3673c8190a889e14ba1f07dc1 completed April 18, 2026, 6:30 p.m.
Created at: April 10, 2026, 10:04 a.m.