Triple

T9964364
Position Surface form Disambiguated ID Type / Status
Subject Alto Alentejo E195643 entity
Predicate contains P35 FINISHED
Object Sousel Municipality E382051 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: Sousel Municipality | Statement: [Alto Alentejo, contains, Sousel Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sousel Municipality
Context triple: [Alto Alentejo, contains, Sousel Municipality]
  • A. Sousel Municipality chosen
    Sousel Municipality is a local administrative region in Portugal known for its rural landscape, agricultural activities, and traditional Alentejo culture.
  • B. Svoge Municipality
    Svoge Municipality is an administrative region in western Bulgaria centered around the town of Svoge, known for its mountainous terrain and proximity to the Iskar Gorge.
  • C. Etne Municipality
    Etne Municipality is a rural coastal municipality in western Norway known for its fjords, mountains, and traditional farming and fishing communities.
  • D. Nora Municipality
    Nora Municipality is a local government area in central Sweden known for its historic wooden town of Nora and surrounding lakes and forests.
  • E. Sveio Municipality
    Sveio Municipality is a coastal municipality in Western Norway known for its scenic landscapes, islands, and proximity to the North Sea.
  • 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_69ca82ebd1288190912f9e4482d1fa35 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb71a33b48190a18c1a9023f249d2 completed April 2, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23da2d7988190b8603ddb151996d9 completed April 5, 2026, 10:46 a.m.
Created at: March 30, 2026, 8:47 p.m.