Triple

T9021325
Position Surface form Disambiguated ID Type / Status
Subject Rocas de Suesca E215729 entity
Predicate hasAccessFrom P1985 FINISHED
Object town of Suesca E769904 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: town of Suesca | Statement: [Rocas de Suesca, hasAccessFrom, town of Suesca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Suesca
Context triple: [Rocas de Suesca, hasAccessFrom, town of Suesca]
  • A. Cieza
    Cieza is a municipality in southeastern Spain’s Region of Murcia, known for its fruit agriculture, especially peaches, and its scenic setting along the Segura River.
  • B. Serenno
    Serenno is a wealthy, aristocratic planet in the Star Wars universe, known as the ancestral seat of Count Dooku and a center of noble power and influence.
  • C. Guastalla
    Guastalla is a historic town in northern Italy, notable for its ties to European nobility including serving as a residence of Pauline Bonaparte.
  • D. Trévélez
    Trévélez is a small Spanish mountain village in the Alpujarras region of Granada, renowned for being one of the highest villages in Spain and for its traditional air-cured ham (jamón).
  • E. Belén de Umbría chosen
    Belén de Umbría is a small Colombian town and municipality in the coffee-growing region of the Andean department of Risaralda.
  • 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a43add08190983b7ac88576fd7e completed April 1, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbb92ffc81909de907f2bb64dd58 completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:07 p.m.