Triple

T17338131
Position Surface form Disambiguated ID Type / Status
Subject Espargos E420993 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Santa Maria E424202 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 | Statement: [Espargos, hasNearbySettlement, Santa Maria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santa Maria
Context triple: [Espargos, hasNearbySettlement, Santa Maria]
  • A. Santa Maria
    Santa Maria is a popular sandy beach on the Greek island of Paros, known for its clear waters, water sports, and lively summer atmosphere.
  • B. Santa Maria
    Santa Maria is a first-class, landlocked municipality in the province of Bulacan in the Philippines, known for its rapidly growing suburban communities and proximity to Metro Manila.
  • C. Santa Maria chosen
    Santa Maria is a coastal town on the southern tip of Sal Island in Cape Verde, known for its sandy beaches, tourism, and water sports.
  • D. Santa Maria
    Santa Maria is a major city in southern Brazil known as an educational and military center in the state of Rio Grande do Sul.
  • E. Santa Maria
    Santa Maria is one of the small islands located within the Stagnone Lagoon off the western coast of Sicily, Italy.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a13dd44819091d296c764976dfe completed April 19, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c56c8148190ab6e3e2eff09725e completed May 11, 2026, 7:59 a.m.
Created at: April 10, 2026, 5:43 a.m.