Triple

T3609237
Position Surface form Disambiguated ID Type / Status
Subject Quinta das Lágrimas E76442 entity
Predicate region P40 FINISHED
Object Centro Region E76433 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: Centro Region | Statement: [Quinta das Lágrimas, region, Centro Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Centro Region
Context triple: [Quinta das Lágrimas, region, Centro Region]
  • A. Centro Region chosen
    The Centro Region is an administrative region in central Portugal known for its historic cities, universities, and diverse landscapes ranging from Atlantic coastline to mountainous interiors.
  • B. Costa Grande region
    The Costa Grande region is a coastal area in the Mexican state of Guerrero known for its beaches, fishing communities, and agricultural production.
  • C. Norte Region
    Norte Region is the northernmost administrative region of Portugal, known for its historic cities like Porto and Braga, rich cultural heritage, and strong industrial and academic presence.
  • D. Centro Sur
    Centro Sur is a province in mainland Equatorial Guinea, known for its inland location and administrative role within the Río Muni region.
  • E. Oriente region
    The Oriente region is a historical area in eastern Cuba known for its mountainous terrain, rich Afro-Cuban culture, and key role in the Cuban Revolution.
  • 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc22a3cf081908c20b6fb55be0db2 completed March 8, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f01ef3e08190bb5ebfde40787ff2 completed March 14, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:23 p.m.