Triple

T12983163
Position Surface form Disambiguated ID Type / Status
Subject Colonna E321700 entity
Predicate hasFamilySeat P1912 FINISHED
Object Castelnuovo di Porto E600837 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: Castelnuovo di Porto | Statement: [Colonna, hasFamilySeat, Castelnuovo di Porto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Castelnuovo di Porto
Context triple: [Colonna, hasFamilySeat, Castelnuovo di Porto]
  • A. Castelnuovo di Porto chosen
    Castelnuovo di Porto is a historic town in the Lazio region of central Italy, situated just north of Rome and known for its medieval architecture and scenic countryside.
  • B. Poggiardo
    Poggiardo is a small town in the Apulia region of southern Italy, known for its archaeological sites and traditional Salento culture.
  • C. Castiglione Cosentino
    Castiglione Cosentino is a small municipality in the Calabria region of southern Italy, known for its hilltop setting and traditional rural character.
  • D. Rosciano
    Rosciano is a small Italian municipality in the Abruzzo region, known for its rural landscape and traditional local agriculture.
  • E. Viareggini
    Viareggini are the inhabitants of Viareggio, a Tuscan coastal city in Italy renowned for its beaches and famous Carnival.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e5ca33481909a6cb06c636889f9 completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0f95c548190a6fc2c1ea98246c3 completed May 3, 2026, 3:28 a.m.
Created at: April 9, 2026, 8:39 p.m.