Triple

T22401865
Position Surface form Disambiguated ID Type / Status
Subject El Masnou E553779 entity
Predicate hasNeighbouringMunicipality P224 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: [El Masnou, hasNeighbouringMunicipality, Montgat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montgat
Context triple: [El Masnou, hasNeighbouringMunicipality, 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. Montgarri
    Montgarri is a small, remote mountain village and former monastery site in the Val d'Aran of the Catalan Pyrenees, known for its scenic alpine setting and pilgrimage church.
  • C. Montjeu
    Montjeu was a champion Irish-bred Thoroughbred racehorse and influential sire, best known for winning the Prix de l'Arc de Triomphe and producing multiple classic-winning offspring.
  • D. Falces
    Falces is a municipality in northern Spain’s Navarre region, known for its traditional festivals and riverside setting along the Arga.
  • E. 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.
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158b4a96c8190838f5dda21c4d853 completed April 29, 2026, 1:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ae9cd35648190a37c9814c581749e completed May 18, 2026, 10:28 a.m.
Created at: April 16, 2026, 8:46 p.m.