Triple

T16448796
Position Surface form Disambiguated ID Type / Status
Subject Terraferma of Venice E399498 entity
Predicate governedBy P46 FINISHED
Object Podestà
The Podestà was a high-ranking civic magistrate and chief administrator in many Italian city-states, including Venetian territories on the mainland, responsible for governance, justice, and public order.
E1213221 NE FINISHED

How this triple was built (4 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: Podestà | Statement: [Terraferma of Venice, governedBy, Podestà]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Podestà
Context triple: [Terraferma of Venice, governedBy, Podestà]
  • A. Poggiani
    Poggiani are the inhabitants or natives of the Italian town of Poggio Mirteto.
  • B. Barbato
    Barbato is an Italian surname associated with individuals of Italian heritage, including Nancy Barbato, the first wife of singer Frank Sinatra.
  • C. Molinaro
    Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
  • D. Garessio
    Garessio is a historic town in the Piedmont region of northwestern Italy, situated in a mountainous area near the Ligurian border.
  • E. Massignano
    Massignano is a small Italian municipality in the Marche region, known for its historic hilltop setting and traditional rural character.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Podestà
Triple: [Terraferma of Venice, governedBy, Podestà]
Generated description
The Podestà was a high-ranking civic magistrate and chief administrator in many Italian city-states, including Venetian territories on the mainland, responsible for governance, justice, and public order.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Podestà
Target entity description: The Podestà was a high-ranking civic magistrate and chief administrator in many Italian city-states, including Venetian territories on the mainland, responsible for governance, justice, and public order.
  • A. Poggiani
    Poggiani are the inhabitants or natives of the Italian town of Poggio Mirteto.
  • B. Barbato
    Barbato is an Italian surname associated with individuals of Italian heritage, including Nancy Barbato, the first wife of singer Frank Sinatra.
  • C. Molinaro
    Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
  • D. Garessio
    Garessio is a historic town in the Piedmont region of northwestern Italy, situated in a mountainous area near the Ligurian border.
  • E. Massignano
    Massignano is a small Italian municipality in the Marche region, known for its historic hilltop setting and traditional rural character.
  • F. None of above. chosen

Provenance (5 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cdee44c8190ae0df20c58ff7558 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004594a4508190be08f3acfff36ab0 completed May 10, 2026, 8:45 a.m.
NEDg Description generation batch_6a0046833e208190a0e1e37fc24c09e0 completed May 10, 2026, 8:49 a.m.
NED2 Entity disambiguation (via description) batch_6a00471604f88190b7cc58a77b861585 completed May 10, 2026, 8:51 a.m.
Created at: April 10, 2026, 5:10 a.m.