Triple

T16520585
Position Surface form Disambiguated ID Type / Status
Subject Anglona E401306 entity
Predicate hasSettlement P1068 FINISHED
Object Santa Maria Coghinas E427937 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: Santa Maria Coghinas | Statement: [Anglona, hasSettlement, Santa Maria Coghinas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Maria Coghinas
Context triple: [Anglona, hasSettlement, Santa Maria Coghinas]
  • A. Santa Maria Coghinas chosen
    Santa Maria Coghinas is a small town and comune in the Gallura region of northern Sardinia, Italy, known for its thermal springs and proximity to the Coghinas River.
  • B. Santa Maria del Pi
    Santa Maria del Pi is a historic Gothic-style basilica in Barcelona, Spain, renowned for its massive rose window and prominent bell tower overlooking the Plaça del Pi.
  • C. Santa Maria a Monte
    Santa Maria a Monte is a historic Tuscan town in central Italy known for its medieval hilltop setting and traditional Italian culture.
  • D. Santa Maria di Castello
    Santa Maria di Castello is a historic church and architectural complex in Tarquinia, Italy, noted for its medieval origins and religious significance.
  • E. Santa Maria Madalena
    Santa Maria Madalena is a small municipality in the mountainous Região Serrana of Rio de Janeiro state in southeastern Brazil, known for its rural landscapes and cooler climate.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e7f8a1481909fe6b3c16a72059b completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007da0867881908ad9391d6d4cdebb completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:14 a.m.