Triple

T5537560
Position Surface form Disambiguated ID Type / Status
Subject Province of Taranto E145202 entity
Predicate contains P35 FINISHED
Object Crispiano
Crispiano is a town and comune in the Apulia region of southern Italy, known for its rural landscapes and traditional agricultural activities.
 E535899 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: Crispiano | Statement: [Province of Taranto, contains, Crispiano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Crispiano
Context triple: [Province of Taranto, contains, Crispiano]
  • A. Piovese
    Piovese is the Italian demonym for inhabitants of Piove di Sacco, a town in the Veneto region of northern Italy.
  • B. Girolata
    Girolata is a remote, picturesque coastal village in western Corsica, France, known for its scenic bay and access only by boat or footpath.
  • C. Garessio
    Garessio is a historic town in the Piedmont region of northwestern Italy, situated in a mountainous area near the Ligurian border.
  • D. Ferentino
    Ferentino is a historic hill town in the Lazio region of central Italy, known for its ancient Roman and medieval architecture.
  • E. Silvano
    Silvano is an Italian given name, related to Silvio, traditionally associated with the Latin name Silvanus meaning "of the forest" or "woodland."
  • 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: Crispiano
Triple: [Province of Taranto, contains, Crispiano]
Generated description
Crispiano is a town and comune in the Apulia region of southern Italy, known for its rural landscapes and traditional agricultural activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Crispiano
Target entity description: Crispiano is a town and comune in the Apulia region of southern Italy, known for its rural landscapes and traditional agricultural activities.
  • A. Piovese
    Piovese is the Italian demonym for inhabitants of Piove di Sacco, a town in the Veneto region of northern Italy.
  • B. Girolata
    Girolata is a remote, picturesque coastal village in western Corsica, France, known for its scenic bay and access only by boat or footpath.
  • C. Garessio
    Garessio is a historic town in the Piedmont region of northwestern Italy, situated in a mountainous area near the Ligurian border.
  • D. Ferentino
    Ferentino is a historic hill town in the Lazio region of central Italy, known for its ancient Roman and medieval architecture.
  • E. Silvano
    Silvano is an Italian given name, related to Silvio, traditionally associated with the Latin name Silvanus meaning "of the forest" or "woodland."
  • 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_69c008fa64888190adae56c8f9ea4031 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fb19cb8819088b21e8ebef63d8b completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04ce6a3bc8190958b9356bb788d72 completed March 22, 2026, 8:11 p.m.
NEDg Description generation batch_69c04e8422dc8190879ee52bd6850565 completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c04f3963888190b1c85b3bb9ff5d44 completed March 22, 2026, 8:21 p.m.
Created at: March 22, 2026, 3:34 p.m.