Triple

T14302973
Position Surface form Disambiguated ID Type / Status
Subject Maisons-Laffitte E354614 entity
Predicate hasTwinTown P919 FINISHED
Object Zamora E239953 NE 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: Zamora | Statement: [Maisons-Laffitte, hasTwinTown, Zamora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zamora
Context triple: [Maisons-Laffitte, hasTwinTown, Zamora]
  • A. Zamora
    Zamora is a city in the Mexican state of Michoacán known for its agricultural production, colonial architecture, and religious landmarks such as the Cathedral of Our Lady of Guadalupe.
  • B. Zamora
    Zamora is a city in southern Ecuador that serves as the administrative and commercial center of Zamora-Chinchipe Province in the Amazonian foothills.
  • C. Zamora chosen
    Zamora is a historic city in northwestern Spain known for its well-preserved Romanesque architecture and strategic location near the Portuguese border.
  • D. Navàs
    Navàs is a municipality in the comarca of Bages in the province of Barcelona, Catalonia, Spain.
  • E. Chichinales
    Chichinales is a small town in Argentina’s Patagonia region, located in the eastern part of Río Negro Province and known for its agricultural activity and proximity to the Alto Valle fruit-growing area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717fc2348190bb6ba3109bd2871f completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d2883e081909c53170ef30b4125 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:12 a.m.