Triple

T15461131
Position Surface form Disambiguated ID Type / Status
Subject Vincenzo Gonzaga E371900 entity
Predicate titleHeldIn P7034 FINISHED
Object Guastalla E99847 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: Guastalla | Statement: [Vincenzo Gonzaga, titleHeldIn, Guastalla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guastalla
Context triple: [Vincenzo Gonzaga, titleHeldIn, Guastalla]
  • A. Guastalla chosen
    Guastalla is a historic town in northern Italy, notable for its ties to European nobility including serving as a residence of Pauline Bonaparte.
  • B. Roccastrada
    Roccastrada is a historic hill town and comune in southern Tuscany, Italy, known for its medieval architecture and scenic countryside.
  • C. Roccaraso
    Roccaraso is a mountain town in Italy’s Abruzzo region, renowned as one of the country’s major ski and winter sports resorts.
  • D. Caltabellotta
    Caltabellotta is a historic hilltop town in Sicily, Italy, known for its medieval architecture and strategic location overlooking the surrounding valleys.
  • E. Rosciano
    Rosciano is a small Italian municipality in the Abruzzo region, known for its rural landscape and traditional local agriculture.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f17663c8190b995c7c3129c90d6 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9978ae90819088bf7c8890b7a9a5 completed May 9, 2026, 8:30 p.m.
Created at: April 10, 2026, 3:32 a.m.