Triple

T17845514
Position Surface form Disambiguated ID Type / Status
Subject Garges-lès-Gonesse E445648 entity
Predicate hasTwinTown P919 FINISHED
Object Taza NE NERFINISHED

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: Taza | Statement: [Garges-lès-Gonesse, hasTwinTown, Taza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taza
Context triple: [Garges-lès-Gonesse, hasTwinTown, Taza]
  • A. Taza chosen
    Taza is a historic city in northern Morocco known for its strategic location between the Rif and Middle Atlas mountains and its role as a key passage linking eastern and western Morocco.
  • B. Taza
    Taza was a 19th-century Apache leader and the son of the famous chief Cochise, known for succeeding his father as a chief of the Chiricahua Apache.
  • C. Terqa
    Terqa was an ancient Mesopotamian city on the middle Euphrates, serving as a regional political and commercial center in what is now eastern Syria.
  • D. Tucabia
    Tucabia is a small rural village in New South Wales, Australia, situated within the Clarence Valley region and known for its quiet, agricultural character.
  • E. Kupchino
    Kupchino is a residential district in the south of Saint Petersburg, Russia, known for its large Soviet-era housing estates and as a major transport hub.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ffa4c648190a88a4b0733493d91 completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:16 a.m.