Triple

T10644783
Position Surface form Disambiguated ID Type / Status
Subject Maresme E250808 entity
Predicate hasMunicipality P847 FINISHED
Object Montgat E562510 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: Montgat | Statement: [Maresme, hasMunicipality, Montgat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montgat
Context triple: [Maresme, hasMunicipality, Montgat]
  • A. Montgat chosen
    Montgat is a small coastal municipality in the province of Barcelona, Catalonia, known for its beaches and proximity to the city of Barcelona.
  • B. Montgiscard
    Montgiscard is a small commune in southwestern France’s Haute-Garonne department, situated near the Lac de la Ganguise and within the wider Toulouse metropolitan area.
  • C. Morgat
    Morgat is a coastal village and seaside resort on the Crozon Peninsula in Brittany, France, known for its beaches and dramatic cliffs.
  • D. Raguil
    Raguil is an alternative spelling of Raguel, a traditional archangel name found in various Judeo-Christian angelologies.
  • E. Malcantone
    Malcantone is a picturesque hilly region in the Swiss canton of Ticino, known for its chestnut forests, traditional villages, and scenic hiking trails near the Italian border.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfd04ca88190ac4fffd13c1f33a8 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a4dd4e48190ba7d0291686702e6 completed April 10, 2026, 10:31 p.m.
Created at: April 8, 2026, 9:05 p.m.