Triple

T5988090
Position Surface form Disambiguated ID Type / Status
Subject Eivissa E133277 entity
Predicate hasHeritageSite P923 FINISHED
Object Dalt Vila E123386 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: Dalt Vila | Statement: [Eivissa, hasHeritageSite, Dalt Vila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dalt Vila
Context triple: [Eivissa, hasHeritageSite, Dalt Vila]
  • A. Dalt Vila chosen
    Dalt Vila is the historic fortified old town of Ibiza City, renowned for its Renaissance-era walls and UNESCO World Heritage status.
  • B. Bellesguard
    Bellesguard is a modernist manor house in Barcelona designed by Antoni Gaudí, notable for its medieval-inspired tower, intricate stonework, and integration of Catalan Gothic and Art Nouveau elements.
  • C. La Seu d’Urgell
    La Seu d’Urgell is a historic town in Catalonia, Spain, known for its medieval cathedral and role as the episcopal seat of the Bishop of Urgell.
  • D. Torres de Quart
    Torres de Quart is a pair of imposing medieval defensive towers that once formed part of Valencia’s city walls and now stand as one of its most iconic historic monuments.
  • E. La Seu
    La Seu is the iconic Gothic Roman Catholic cathedral of Palma de Mallorca, renowned for its imposing seaside silhouette and stunning architecture.
  • 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_69c0087010d081908bb8142342d63330 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04dc51d948190bacf4c40a73e91b2 completed March 22, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c10854969c8190b9be249f26ad2f47 completed March 23, 2026, 9:31 a.m.
Created at: March 22, 2026, 4:04 p.m.