Triple

T8423077
Position Surface form Disambiguated ID Type / Status
Subject Monserrat E198909 entity
Predicate borderedBy P224 FINISHED
Object San Telmo E234911 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: San Telmo | Statement: [Monserrat, borderedBy, San Telmo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Telmo
Context triple: [Monserrat, borderedBy, San Telmo]
  • A. San Telmo chosen
    San Telmo is one of Buenos Aires’ oldest neighborhoods, known for its cobblestone streets, colonial architecture, tango culture, and vibrant antique and street markets.
  • B. San Telmo region
    The San Telmo region is a traditional homeland area in northern Baja California, Mexico, historically inhabited and used by the Indigenous Kiliwa people.
  • C. Recoleta
    Recoleta is an upscale, historic neighborhood in Buenos Aires, Argentina, known for its elegant architecture, cultural attractions, and the famous Recoleta Cemetery.
  • D. Recoleta
    Recoleta is a commune in Santiago, Chile, known for its dense urban character, cultural diversity, and historic neighborhoods.
  • E. Puerto Madero
    Puerto Madero is a revitalized waterfront neighborhood in Buenos Aires known for its modern high-rises, upscale dining, and contemporary urban development along the old port docks.
  • 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_69ca8312d63c8190bf133b676b44a385 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb859f787481908a11797a317c8849 completed March 31, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce6ce5bfe481909e05c6a34e10ae16 completed April 2, 2026, 1:19 p.m.
Created at: March 30, 2026, 6:06 p.m.