Triple

T2782150
Position Surface form Disambiguated ID Type / Status
Subject Treaty of the Pyrenees E61720 entity
Predicate cededTerritoryToFrance P23244 FINISHED
Object Capcir E85354 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: Capcir | Statement: [Treaty of the Pyrenees, cededTerritoryToFrance, Capcir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Capcir
Context triple: [Treaty of the Pyrenees, cededTerritoryToFrance, Capcir]
  • A. Capcir chosen
    Capcir is a high-altitude plateau and historical region in the eastern Pyrenees of southern France, known for its mountain landscapes, lakes, and Catalan cultural heritage.
  • B. Piipaash
    Piipaash are a Native American people of the lower Colorado River region, closely related to the Maricopa and known for their distinct language and cultural traditions.
  • C. Forio
    Forio is a coastal town and popular tourist resort on the Italian island of Ischia, known for its beaches, thermal springs, and historic architecture.
  • D. Cap
    Cap is the standard three-letter astronomical abbreviation used to denote the zodiac constellation Capricornus.
  • E. Taitō
    Taitō is a special ward in central Tokyo known for its historic districts, traditional temples, and major cultural attractions such as Ueno Park and Asakusa.
  • 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_69ab4b7e43c48190997b8fc8fb1663ab completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abe0895e5881909702e69aaee5c425 completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc05f4e7881908bf5b6f7df331041 completed March 10, 2026, 6:55 a.m.
Created at: March 6, 2026, 9:57 p.m.