Triple

T19682356
Position Surface form Disambiguated ID Type / Status
Subject Roland of Siena E472623 entity
Predicate deathPlace P21 FINISHED
Object Civita Castellana NE NERFINISHED

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: [Roland of Siena, deathPlace, Civita Castellana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Civita Castellana
Context triple: [Roland of Siena, deathPlace, 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 (2 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e641c05964819093d3124b8f174001 completed April 20, 2026, 3:09 p.m.
Created at: April 10, 2026, 1:45 p.m.