Triple

T16478746
Position Surface form Disambiguated ID Type / Status
Subject Blessagno E400258 entity
Predicate sharesBorderWith P224 FINISHED
Object Schignano E403167 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: Schignano | Statement: [Blessagno, sharesBorderWith, Schignano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schignano
Context triple: [Blessagno, sharesBorderWith, Schignano]
  • A. Schignano chosen
    Schignano is a small Italian village in the Lombardy region, known for its traditional Alpine setting and historic Carnival celebrations.
  • B. Zagarolo
    Zagarolo is a historic hill town in the Lazio region of central Italy, known for its medieval center and proximity to Rome.
  • C. Contigliano
    Contigliano is a small town and comune in the province of Rieti in the Lazio region of central Italy.
  • D. Poggiardo
    Poggiardo is a small town in the Apulia region of southern Italy, known for its archaeological sites and traditional Salento culture.
  • E. Poggiorsini
    Poggiorsini is a small Italian town and comune in the Apulia region of southern Italy.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e01230881908b2147a25f78b7f4 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00679ecf4c819096e7f698b81fe25a completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:13 a.m.