Triple

T2098994
Position Surface form Disambiguated ID Type / Status
Subject Tenuta di Castelporziano E37049 entity
Predicate locatedInRegion P40 FINISHED
Object Lazio E12614 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: Lazio | Statement: [Tenuta di Castelporziano, locatedInRegion, Lazio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lazio
Context triple: [Tenuta di Castelporziano, locatedInRegion, Lazio]
  • A. Lazio chosen
    Lazio is a central Italian region best known for encompassing the nation’s capital, Rome, and its rich historical and cultural heritage.
  • B. Frosinone
    Frosinone is a city in central Italy that serves as the capital of the province of the same name within the Lazio region.
  • C. Pomezia
    Pomezia is a modern industrial and residential town in the Lazio region of central Italy, situated just south of Rome.
  • D. Civitavecchia
    Civitavecchia is a major Italian port city in the Lazio region that serves as the principal maritime gateway to Rome on the Tyrrhenian coast.
  • E. Bologna
    Bologna is a historic city in northern Italy renowned for its medieval architecture, rich culinary tradition, and the University of Bologna, one of the oldest universities in the world.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbab9f5b88190b8a18056dc592dde completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae30467f2c8190adc3e619396c0f08 completed March 9, 2026, 2:28 a.m.
Created at: March 4, 2026, 7:43 p.m.