Triple

T13850895
Position Surface form Disambiguated ID Type / Status
Subject Saint Isabel of Portugal E332936 entity
Predicate deathPlace P21 FINISHED
Object Estremoz E77710 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: Estremoz | Statement: [Saint Isabel of Portugal, deathPlace, Estremoz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Estremoz
Context triple: [Saint Isabel of Portugal, deathPlace, Estremoz]
  • A. Estremoz chosen
    Estremoz is a historic town and municipality in Portugal’s Alentejo region, known for its marble quarries, medieval castle, and well-preserved old quarter.
  • B. Penacova
    Penacova is a picturesque riverside town in central Portugal known for its scenic landscapes, viewpoints, and traditional villages along the Mondego River.
  • C. Elvas
    Elvas is a historic fortified city in eastern Portugal, near the Spanish border, renowned for its extensive star-shaped fortifications and aqueduct, both recognized as UNESCO World Heritage sites.
  • D. Mangualde
    Mangualde is a municipality in Portugal’s Viseu district, known for its historical town center and its role as a regional transport and industrial hub.
  • E. Torres Novas
    Torres Novas is a historic Portuguese city known for its medieval castle and location in the Santarém District of central Portugal.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02d8fb788190baef7537be2baecb completed April 14, 2026, 9:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0f73838819085d6f052c00fc494 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.