Triple

T5537571
Position Surface form Disambiguated ID Type / Status
Subject Province of Taranto E145202 entity
Predicate contains P35 FINISHED
Object Lizzano
Lizzano is a town and comune in the Apulia region of southern Italy, known for its wine production and proximity to the Ionian coast.
 E528068 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: Lizzano | Statement: [Province of Taranto, contains, Lizzano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lizzano
Context triple: [Province of Taranto, contains, Lizzano]
  • A. Cortellazzo
    Cortellazzo is an Italian locality whose name is associated with the noble title "Countess of Cortellazzo and Buccari."
  • B. Gavignano
    Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
  • C. Fanzolo
    Fanzolo is a locality in the Veneto region of northern Italy, known for hosting the Renaissance-era Villa Emo designed by Andrea Palladio.
  • D. Enza
    Enza is a river in northern Italy that flows through the Emilia-Romagna region before joining the Secchia.
  • E. Canosini
    Canosini are the inhabitants or natives of Canosa di Puglia, a historic town in the Apulia region of southern Italy.
  • 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: Lizzano
Triple: [Province of Taranto, contains, Lizzano]
Generated description
Lizzano is a town and comune in the Apulia region of southern Italy, known for its wine production and proximity to the Ionian coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lizzano
Target entity description: Lizzano is a town and comune in the Apulia region of southern Italy, known for its wine production and proximity to the Ionian coast.
  • A. Cortellazzo
    Cortellazzo is an Italian locality whose name is associated with the noble title "Countess of Cortellazzo and Buccari."
  • B. Gavignano
    Gavignano is a small Italian town in the Lazio region, historically notable as the birthplace of Pope Innocent III.
  • C. Fanzolo
    Fanzolo is a locality in the Veneto region of northern Italy, known for hosting the Renaissance-era Villa Emo designed by Andrea Palladio.
  • D. Enza
    Enza is a river in northern Italy that flows through the Emilia-Romagna region before joining the Secchia.
  • E. Canosini
    Canosini are the inhabitants or natives of Canosa di Puglia, a historic town in the Apulia region of southern Italy.
  • 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_69c02817cb04819088df72950c791144 completed March 22, 2026, 5:34 p.m.
NEDg Description generation batch_69c033df2c7881909660eb931908318c completed March 22, 2026, 6:24 p.m.
NED2 Entity disambiguation (via description) batch_69c034640cd081909b44ff23e9005e57 completed March 22, 2026, 6:26 p.m.
Created at: March 22, 2026, 3:34 p.m.