Triple

T15106890
Position Surface form Disambiguated ID Type / Status
Subject Orsini E360809 entity
Predicate heldFief P117346 FINISHED
Object Monterotondo E370813 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: Monterotondo | Statement: [Orsini, heldFief, Monterotondo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monterotondo
Context triple: [Orsini, heldFief, Monterotondo]
  • A. Monterotondo chosen
    Monterotondo is a historic town in the Lazio region of central Italy, near Rome, known for its medieval heritage and ties to prominent noble families such as the Orsini.
  • B. Monterotondo Marittimo
    Monterotondo Marittimo is a small Tuscan municipality in central Italy, known for its geothermal landscapes and medieval hilltop setting.
  • C. Toscolano-Maderno
    Toscolano-Maderno is a lakeside town on the western shore of Lake Garda in northern Italy, known for its historic paper mills, scenic waterfront, and surrounding natural beauty.
  • D. Magliano Romano
    Magliano Romano is a small historic town in the Lazio region of central Italy, situated in the countryside north of Rome.
  • E. Magliano Sabina
    Magliano Sabina is a small Italian town in the Lazio region known for its historic hilltop setting and olive-growing countryside overlooking the Tiber Valley.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0058af8988190977d998f85893836 completed April 15, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef61cf80819096a3cb611f5af9fc completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:05 a.m.