Triple

T11830110
Position Surface form Disambiguated ID Type / Status
Subject Buenos Aires E281363 entity
Predicate hasDistrict P459 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: [Buenos Aires, hasDistrict, San Telmo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Telmo
Context triple: [Buenos Aires, hasDistrict, 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a62b75dc8190b27d24e46a262a11 completed April 10, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1672e736481909ba5f867cb840039 completed April 29, 2026, 2:04 a.m.
Created at: April 8, 2026, 9:43 p.m.