Triple

T17132734
Position Surface form Disambiguated ID Type / Status
Subject Tomba dei Giganti di Coddu Vecchiu E415760 entity
Predicate municipality P852 FINISHED
Object Arzachena E423857 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: Arzachena | Statement: [Tomba dei Giganti di Coddu Vecchiu, municipality, Arzachena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arzachena
Context triple: [Tomba dei Giganti di Coddu Vecchiu, municipality, Arzachena]
  • A. Arzachena chosen
    Arzachena is a town in northeastern Sardinia, Italy, known for its archaeological sites and proximity to the Costa Smeralda resort area.
  • B. Aracena
    Aracena is a historic town in southwestern Spain renowned for its medieval castle and the Gruta de las Maravillas cave system.
  • C. Santurtzi
    Santurtzi is a coastal town and municipality in the Greater Bilbao area of northern Spain, known for its fishing port and maritime traditions.
  • D. Orduña
    Orduña is a historic town in the Basque Country of northern Spain, known for its medieval heritage and strategic location along traditional trade routes.
  • E. Aizkorri
    Aizkorri is a prominent mountain massif in the Basque Country of northern Spain, known for its rugged limestone peaks and popular hiking routes.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f02ba4cc8190b6f433e08e958d83 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01482cd918819082d18b3cb76394cb completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:36 a.m.