Triple

T12292062
Position Surface form Disambiguated ID Type / Status
Subject Pisae E292987 entity
Predicate predecessorOf P97 FINISHED
Object Comune di Pisa E669707 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: Comune di Pisa | Statement: [Pisae, predecessorOf, Comune di Pisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Comune di Pisa
Context triple: [Pisae, predecessorOf, Comune di Pisa]
  • A. Comune di Pisa chosen
    Comune di Pisa is the municipal government authority of the historic Italian city of Pisa in Tuscany.
  • B. Comune di Firenze
    Comune di Firenze is the municipal government of the city of Florence, responsible for its local administration, public services, and cultural heritage.
  • C. Comune di Prato
    Comune di Prato is the municipal government authority responsible for administering the city of Prato in Tuscany, Italy.
  • D. Comune di Siena
    Comune di Siena is the municipal government authority responsible for administering the city of Siena in Tuscany, Italy.
  • E. Comune di Pesaro
    Comune di Pesaro is the municipal government authority responsible for administering the city of Pesaro in Italy.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d22ba488190914342fa7e69e159 completed April 10, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e775dac819099d44b61cbccc109 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.