Triple

T19515504
Position Surface form Disambiguated ID Type / Status
Subject Monti Lepini E488266 entity
Predicate separates P1175 FINISHED
Object Pontine Plain NE NERFINISHED

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: Pontine Plain | Statement: [Monti Lepini, separates, Pontine Plain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pontine Plain
Context triple: [Monti Lepini, separates, Pontine Plain]
  • A. Pontine plain chosen
    The Pontine plain is a low-lying coastal plain in central Italy, historically marshy and later reclaimed for agriculture and settlement.
  • B. Bologna plain
    The Bologna plain is a broad, fertile lowland area in northern Italy surrounding the city of Bologna, known for its agricultural productivity and expansive views from the surrounding hills.
  • C. Po River plain
    The Po River plain is a vast, fertile lowland in northern Italy, characterized by intensive agriculture and dense settlement along the Po River and its tributaries.
  • D. Tavoliere plain
    The Tavoliere plain is a vast, fertile lowland in northern Apulia, southern Italy, known as one of the country’s major agricultural regions.
  • E. Tuscan plain
    The Tuscan plain is a broad lowland region in central Italy characterized by fertile agricultural land and major urban centers such as Florence and Pisa.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6359b90f08190b38359dc9e97e11c completed April 20, 2026, 2:18 p.m.
Created at: April 10, 2026, 1:40 p.m.