Triple

T9817625
Position Surface form Disambiguated ID Type / Status
Subject Rovereto E238447 entity
Predicate locatedInValley P40 FINISHED
Object Vallagarina E823452 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: Vallagarina | Statement: [Rovereto, locatedInValley, Vallagarina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vallagarina
Context triple: [Rovereto, locatedInValley, Vallagarina]
  • A. Vallagarina chosen
    Vallagarina is a valley and district in the Trentino region of northern Italy, known for its wine production, historic towns, and position along the Adige River.
  • B. Chersina
    Chersina is a genus of tortoises in the family Testudinidae, best known for the South African species Chersina angulata, commonly called the angulate tortoise.
  • C. Gorgasia
    Gorgasia is a genus of garden eels known for their slender, burrowing bodies that protrude from sandy sea floors in tropical and subtropical oceans.
  • D. Vabea
    Vabea is a small coastal village located on Kadavu Island in Fiji, known for its traditional Fijian community and proximity to coral reefs.
  • E. Ogna
    Ogna is a river in Trøndelag county, Norway, known for flowing through the municipality of Steinkjer.
  • 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_69ca84dfde1481909f47c286d715f892 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb2f5bfa481908a2d2cb3f3d7d585 completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5b599f88190a8f54771c4a75e58 completed April 5, 2026, 3:23 a.m.
Created at: March 30, 2026, 8:30 p.m.