Triple

T18654784
Position Surface form Disambiguated ID Type / Status
Subject Carignano E456029 entity
Predicate hasNearbyMunicipality P4647 FINISHED
Object Pancalieri
Pancalieri is a small municipality in the Piedmont region of northwestern Italy, known for its agricultural landscape and proximity to Turin.
E1337193 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: Pancalieri | Statement: [Carignano, hasNearbyMunicipality, Pancalieri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pancalieri
Context triple: [Carignano, hasNearbyMunicipality, Pancalieri]
  • A. Papaleo
    Papaleo is the Italian surname of legendary American featherweight boxing champion Willie Pep, born Guglielmo Papaleo.
  • B. Crispiano
    Crispiano is a town and comune in the Apulia region of southern Italy, known for its rural landscapes and traditional agricultural activities.
  • C. Segariu
    Segariu is a small municipality in southern Sardinia, Italy, known for its rural character and agricultural traditions.
  • D. Piovese
    Piovese is the Italian demonym for inhabitants of Piove di Sacco, a town in the Veneto region of northern Italy.
  • E. Piermarini
    Piermarini is an Italian surname most notably associated with Giuseppe Piermarini, an 18th-century architect renowned for designing Milan’s Teatro alla Scala.
  • 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: Pancalieri
Triple: [Carignano, hasNearbyMunicipality, Pancalieri]
Generated description
Pancalieri is a small municipality in the Piedmont region of northwestern Italy, known for its agricultural landscape and proximity to Turin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pancalieri
Target entity description: Pancalieri is a small municipality in the Piedmont region of northwestern Italy, known for its agricultural landscape and proximity to Turin.
  • A. Papaleo
    Papaleo is the Italian surname of legendary American featherweight boxing champion Willie Pep, born Guglielmo Papaleo.
  • B. Crispiano
    Crispiano is a town and comune in the Apulia region of southern Italy, known for its rural landscapes and traditional agricultural activities.
  • C. Segariu
    Segariu is a small municipality in southern Sardinia, Italy, known for its rural character and agricultural traditions.
  • D. Piovese
    Piovese is the Italian demonym for inhabitants of Piove di Sacco, a town in the Veneto region of northern Italy.
  • E. Piermarini
    Piermarini is an Italian surname most notably associated with Giuseppe Piermarini, an 18th-century architect renowned for designing Milan’s Teatro alla Scala.
  • 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e55084012881909b9dd60565011c86 completed April 19, 2026, 10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05234756cc8190ba8f0f52499dbac1 completed May 14, 2026, 1:20 a.m.
NEDg Description generation batch_6a052419ba208190bac5d7fc94519b40 completed May 14, 2026, 1:23 a.m.
NED2 Entity disambiguation (via description) batch_6a052490bb60819086420aa11327426f completed May 14, 2026, 1:25 a.m.
Created at: April 10, 2026, 11:47 a.m.