Triple

T10272740
Position Surface form Disambiguated ID Type / Status
Subject Isarco E240877 entity
Predicate flowsThrough P225 FINISHED
Object Chiusa E793072 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: Chiusa | Statement: [Isarco, flowsThrough, Chiusa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chiusa
Context triple: [Isarco, flowsThrough, Chiusa]
  • A. Chiusa chosen
    Chiusa is a small historic town in South Tyrol, northern Italy, known for its picturesque medieval center and Alpine surroundings.
  • B. Chiusi
    Chiusi is an ancient town in central Italy renowned as one of the principal cities of the Etruscan civilization and noted for its rich archaeological heritage.
  • C. Clausura
    Clausura is the closing half of a split football season format commonly used in Latin American leagues, following the Apertura tournament.
  • D. The Close
    The Close is the historic cathedral precinct in Salisbury, England, encompassing Salisbury Cathedral and its surrounding lawns, residences, and ecclesiastical buildings.
  • E. The Closers
    The Closers is a crime novel by Michael Connelly featuring LAPD detective Harry Bosch returning from retirement to investigate a cold case murder.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2872830819080fdfa816167d04c completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f813c62c8190ac3bf19eff9d36e2 completed April 9, 2026, 12:51 a.m.
Created at: April 6, 2026, 11:36 a.m.