Triple

T17088471
Position Surface form Disambiguated ID Type / Status
Subject Setúbal District E414661 entity
Predicate hasMunicipality P847 FINISHED
Object Montijo E464562 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: Montijo | Statement: [Setúbal District, hasMunicipality, Montijo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montijo
Context triple: [Setúbal District, hasMunicipality, Montijo]
  • A. Montijo chosen
    Montijo is a municipality in Portugal’s Lisbon metropolitan area, located on the south bank of the Tagus River and linked to Lisbon by road and ferry connections.
  • B. Montijo
    Montijo is a municipality in the autonomous community of Extremadura in western Spain, known for its agricultural economy and proximity to the regional capital, Badajoz.
  • C. Almendralejo
    Almendralejo is a town in the Spanish region of Extremadura known for its wine production and agricultural economy.
  • D. Coslada
    Coslada is a municipality in the Community of Madrid, Spain, known as an important residential and industrial suburb located east of the capital.
  • E. Águeda
    Águeda is a Portuguese city in the Aveiro District, known for its colorful umbrella-filled streets and as a local commercial and cultural center in the Vouga River valley.
  • 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_6a0141422d6c819086dc98988c0851d9 completed May 11, 2026, 2:38 a.m.
Created at: April 10, 2026, 5:35 a.m.