Triple

T14101030
Position Surface form Disambiguated ID Type / Status
Subject Pontinia E339380 entity
Predicate locatedIn P40 FINISHED
Object Agro Pontino E304469 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: Agro Pontino | Statement: [Pontinia, locatedIn, Agro Pontino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agro Pontino
Context triple: [Pontinia, locatedIn, Agro Pontino]
  • A. Agro Pontino chosen
    Agro Pontino is a reclaimed marshland region in central Italy, known for its large-scale drainage and agricultural development projects during the Fascist era.
  • B. Canosa di Puglia
    Canosa di Puglia is a historic town in the Apulia region of southern Italy, known for its ancient archaeological heritage and medieval monuments.
  • C. Frescati
    Frescati is an area in northern Stockholm, Sweden, known for hosting Stockholm University and several major cultural and scientific institutions.
  • D. Campo Marzio
    Campo Marzio is a historic central district of Rome, Italy, known for its dense concentration of ancient monuments, Baroque churches, and important civic buildings.
  • E. Peschici
    Peschici is a coastal town in southern Italy known for its whitewashed houses, scenic cliffs, and beaches on the Gargano promontory overlooking the Adriatic Sea.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fbbf0b08190ba1ea3657d6db005 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd193332308190870c4ec7c9753202 completed May 7, 2026, 10:58 p.m.
Created at: April 9, 2026, 10:22 p.m.