Triple

T3459468
Position Surface form Disambiguated ID Type / Status
Subject PAR E72987 entity
Predicate associatedCityName P25162 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: [PAR, associatedCityName, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [PAR, associatedCityName, Paris]
  • A. 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.
  • B. Paris chosen
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • C. Lyon
    Lyon is a major city in east-central France known for its historical and architectural landmarks, gastronomy, and role as a key economic and cultural center.
  • D. Palaiseau
    Palaiseau is a suburban commune in the southern outskirts of Paris, France, known for hosting major scientific and engineering institutions.
  • E. Boulogne-Billancourt
    Boulogne-Billancourt is a densely populated suburban city just southwest of central Paris, known as a major economic and media hub in the Île-de-France region.
  • 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: associatedCityName
Context triple: [PAR, associatedCityName, Paris]
  • A. cityAssociatedWith
    Indicates that there is a notable connection or relationship between a city and another entity, such as relevance, involvement, or contextual association.
  • B. associatedCityState
    Indicates a relationship where a city is linked to the state with which it is formally or contextually connected.
  • C. representedCity
    Indicates that an entity serves as the official representative or proxy for a particular city.
  • D. hasAssociatedCity chosen
    Indicates that one entity is linked or related to a specific city, typically as its location, base, or primary area of association.
  • E. linkedCity
    Indicates that two entities are associated with each other through a specific city, such as being located in, connected via, or related by that city.
  • 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_69ad85b12a908190a1d10a6b03b4f8ae completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbae4c18881908b48d16e46f78209 completed March 8, 2026, 6:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bb5f8c08190875331bdc72fde0b completed March 13, 2026, 3:59 a.m.
PD Predicate disambiguation batch_69adae041d588190a84a02bca94adec8 completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:16 p.m.