Triple

T9222314
Position Surface form Disambiguated ID Type / Status
Subject Alentejo Central E221591 entity
Predicate contains P35 FINISHED
Object Alandroal E380686 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: Alandroal | Statement: [Alentejo Central, contains, Alandroal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alandroal
Context triple: [Alentejo Central, contains, Alandroal]
  • A. Alandroal chosen
    Alandroal is a municipality and town in Portugal’s Alentejo region, known for its historic castle and rural landscapes within the Évora District.
  • B. Haldia
    Haldia is an industrial port city in eastern India known for its petrochemical complexes and role as a major river port on the Hooghly River.
  • C. Agarfa
    Agarfa is a town and district in Ethiopia’s Oromia Region, situated within the Bale Zone and known for its agricultural and pastoral communities.
  • D. Jauja
    Jauja is a historic highland city in central Peru, known as the country’s first Spanish-founded capital and for its colonial architecture and Andean cultural heritage.
  • E. Naut Aran
    Naut Aran is a mountainous municipality in the Catalan Pyrenees of northeastern Spain, known for its ski resorts, Romanesque heritage, and location within the Val d’Aran.
  • 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_69ca83ec8db08190a9110df8232885d2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda76e3648190af9e24381db7679a completed April 1, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d066384a908190b833d4ae5b3c5074 completed April 4, 2026, 1:15 a.m.
Created at: March 30, 2026, 7:28 p.m.