Triple

T9222310
Position Surface form Disambiguated ID Type / Status
Subject Alentejo Central E221591 entity
Predicate contains P35 FINISHED
Object Arraiolos E380683 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: Arraiolos | Statement: [Alentejo Central, contains, Arraiolos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arraiolos
Context triple: [Alentejo Central, contains, Arraiolos]
  • A. Arraiolos chosen
    Arraiolos is a Portuguese town renowned for its traditional hand-embroidered wool rugs and historic hilltop castle.
  • B. Ortigueira
    Ortigueira is a coastal town and municipality in the province of A Coruña, Galicia, Spain, known for its scenic estuary landscapes and its international folk music festival.
  • C. Equirria
    Equirria was an ancient Roman festival dedicated to Mars that centered on horse races and rites connected to warfare and the agricultural year.
  • D. Osuna
    Osuna is a historic town in the province of Seville, Spain, known for its rich archaeological heritage, including notable ancient reliefs and other Roman-era remains.
  • E. Turrubares
    Turrubares is a rural canton in Costa Rica known for its mountainous landscapes, agricultural activities, and low population density.
  • 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.