Triple

T11102962
Position Surface form Disambiguated ID Type / Status
Subject Monte Sant'Angelo E262556 entity
Predicate locatedIn P40 FINISHED
Object Gargano E271568 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: Gargano | Statement: [Monte Sant'Angelo, locatedIn, Gargano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gargano
Context triple: [Monte Sant'Angelo, locatedIn, Gargano]
  • A. Gargano Peninsula chosen
    The Gargano Peninsula is a mountainous promontory in southeastern Italy known for its rugged coastline, forests, and seaside resorts along the Adriatic Sea.
  • B. Carovigno
    Carovigno is a historic town and popular tourist destination in Italy’s Apulia region, known for its medieval castle, olive groves, and proximity to the Adriatic coast.
  • C. Marsica
    Marsica is a historical region in central Italy, located in the Apennine Mountains of Abruzzo and known for its ancient Italic heritage and the former Lake Fucino basin.
  • D. Salento
    Salento is a peninsula in southern Apulia, Italy, known for its historic towns, distinctive culture, and scenic Adriatic and Ionian coastlines.
  • E. Salento
    Salento is a picturesque Colombian town in the Andean region, famed for its coffee culture, colorful architecture, and proximity to the Cocora Valley with its towering wax palms.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a2c30a481908c45020c37caebe4 completed April 9, 2026, 12:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e7ff368c8190ab01b7538ad83826 completed April 18, 2026, 8:22 p.m.
Created at: April 8, 2026, 9:27 p.m.