Triple

T17088461
Position Surface form Disambiguated ID Type / Status
Subject Setúbal District E414661 entity
Predicate hasCity P316 FINISHED
Object Moita E1165535 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: Moita | Statement: [Setúbal District, hasCity, Moita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moita
Context triple: [Setúbal District, hasCity, Moita]
  • A. Moita chosen
    Moita is a civil parish located within the municipality of Anadia in Portugal, known for its rural character and integration into the Bairrada wine region.
  • B. Minnale
    Minnale is a 2001 Tamil romantic drama film directed by Gautham Vasudev Menon, noted for its popular soundtrack by Harris Jayaraj and its success as a modern love story in South Indian cinema.
  • C. Maasin
    Maasin is a coastal city in the Philippines that serves as the administrative, economic, and religious center of the province of Southern Leyte.
  • D. Monjo
    Monjo is a small Sherpa village in Nepal’s Khumbu region that serves as a common stop for trekkers on the route to Everest Base Camp.
  • E. Noatun
    Noatun is the seaside home of the Norse sea god Njord, often depicted as a peaceful, ship-filled haven by the water.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe92e488190b947287a968086d5 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee81fd08190a7e1f5958fbe3b97 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:35 a.m.