Triple

T14673299
Position Surface form Disambiguated ID Type / Status
Subject Forano E344567 entity
Predicate locatedNear P294 FINISHED
Object Civita Castellana E368330 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: Civita Castellana | Statement: [Forano, locatedNear, Civita Castellana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Civita Castellana
Context triple: [Forano, locatedNear, Civita Castellana]
  • A. Civita Castellana chosen
    Civita Castellana is a historic town in the Lazio region of central Italy, known for its medieval fortifications and strategic position north of Rome.
  • B. Montecastrilli
    Montecastrilli is a small Italian municipality in the Umbria region, known for its rural landscapes and historic hilltop setting.
  • C. Civitaquana
    Civitaquana is a small Italian municipality in the Abruzzo region, known for its historic hilltop setting and traditional rural character.
  • D. Montefiascone
    Montefiascone is a historic hilltop town in Italy’s Lazio region, known for its scenic views over Lake Bolsena and its production of the Est! Est!! Est!!! white wine.
  • E. Musignano
    Musignano is an Italian locality historically linked to the Bonaparte family’s expanded heraldic and territorial holdings.
  • 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_69d822e283fc8190a0e4c235cf880052 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb55064cc8190b9669d0b2da61825 completed April 14, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a5c72008190a3c4df20480850c9 completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 1:27 a.m.