Triple

T13239268
Position Surface form Disambiguated ID Type / Status
Subject Gironès E315236 entity
Predicate contains P35 FINISHED
Object Canet d’Adri E878555 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: Canet d’Adri | Statement: [Gironès, contains, Canet d’Adri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canet d’Adri
Context triple: [Gironès, contains, Canet d’Adri]
  • A. Canet-de-Salars
    Canet-de-Salars is a small rural commune in the Aveyron department of southern France, known for its scenic lakeside setting and outdoor recreation.
  • B. Canet de Mar chosen
    Canet de Mar is a coastal town in Catalonia, Spain, known for its modernist architecture and Mediterranean beaches.
  • C. Lavezares
    Lavezares is a coastal municipality in the province of Northern Samar in the Philippines, known for its fishing communities and island landscapes.
  • D. Fargas
    Fargas is a surname most notably associated with American actor Antonio Fargas, known for his character roles in film and television.
  • E. Rivesaltes
    Rivesaltes is a commune in southern France’s Pyrénées-Orientales department, known for its wine production and historical internment camp.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d5850ac8190849a51da39efe5be completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff323a3c8190b46b24e69e653105 completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:23 p.m.