Triple

T9706539
Position Surface form Disambiguated ID Type / Status
Subject San Telmo E234911 entity
Predicate adjacentTo P224 FINISHED
Object Monserrat E198909 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: Monserrat | Statement: [San Telmo, adjacentTo, Monserrat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monserrat
Context triple: [San Telmo, adjacentTo, Monserrat]
  • A. Monserrat chosen
    Monserrat is a historic neighborhood in central Buenos Aires, Argentina, known for its colonial architecture, political landmarks, and role as one of the city’s oldest districts.
  • B. Isla Monserrat
    Isla Monserrat is a small, arid island in the Gulf of California known for its rugged desert landscape, surrounding rich marine life, and relative isolation.
  • C. Lucea
    Lucea is a coastal town in western Jamaica that serves as the capital of Hanover Parish and is known for its historic harbor and Georgian architecture.
  • D. Soufrière
    Soufrière is a historic coastal town in southwestern Saint Lucia known for its volcanic landscapes, including the Pitons and Sulphur Springs.
  • E. Petit St Vincent
    Petit St Vincent is a small, private Caribbean island resort in the Grenadines known for its secluded beaches and exclusive, low-key luxury.
  • 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_69ca84cc78808190a56f3402b7c139a7 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9da4c53c81908ba4bfe4d9ca8814 completed April 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1913aa6e4819081964cf9bcf24fca completed April 4, 2026, 10:31 p.m.
Created at: March 30, 2026, 8:19 p.m.