Triple

T16138610
Position Surface form Disambiguated ID Type / Status
Subject Priorat E391594 entity
Predicate capital P234 FINISHED
Object Falset E1191092 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: Falset | Statement: [Priorat, capital, Falset]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Falset
Context triple: [Priorat, capital, Falset]
  • A. Falset chosen
    Falset is a historic town in Catalonia’s Priorat wine region, known for its surrounding vineyards, rugged landscapes, and production of high-quality wines.
  • B. Falas
    Falas is a coastal region in J.R.R. Tolkien’s legendarium, forming the western shoreline of Beleriand and home to important Elven havens.
  • C. Falsettoland
    Falsettoland is a musical by William Finn and James Lapine that explores family, love, and identity in the shadow of the early AIDS crisis.
  • D. Falalop
    Falalop is a small inhabited island within Ulithi Atoll in the Federated States of Micronesia, known for hosting an airfield and serving as one of the atoll’s main population centers.
  • E. Festivoix
    Festivoix is an annual music and arts festival held in Trois-Rivières, Quebec, featuring a diverse lineup of performances across multiple stages.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a06e0988190b5cd62d422d058a2 completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2b574148190b9d5b725d7d113af completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5:01 a.m.