Triple

T6845351
Position Surface form Disambiguated ID Type / Status
Subject Sabine Mountains E157879 entity
Predicate near P350 FINISHED
Object town of Poggio Mirteto E355786 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: town of Poggio Mirteto | Statement: [Sabine Mountains, near, town of Poggio Mirteto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Poggio Mirteto
Context triple: [Sabine Mountains, near, town of Poggio Mirteto]
  • A. Poggio Mirteto chosen
    Poggio Mirteto is a historic hill town in the Lazio region of central Italy, known for its medieval architecture and scenic position in the Sabine countryside.
  • B. Poggio San Lorenzo
    Poggio San Lorenzo is a small Italian municipality in the Lazio region, known for its rural setting and historical hilltop village character.
  • C. Poggio Moiano
    Poggio Moiano is a small Italian hill town in the Lazio region known for its rural character and proximity to the Apennine mountains.
  • D. town of Finale Emilia
    Finale Emilia is a historic town in Italy’s Emilia-Romagna region, known for its medieval architecture and location in the fertile Po Valley.
  • E. Loiano
    Loiano is a small Italian town in the Emilia-Romagna region, known for its Apennine hillside setting and astronomical observatory.
  • 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_69c6882ed4c081909dc465a7cf8838be completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d7ca96008190ba79563c2a9a9b0e completed March 27, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fc42e688190baa8413883e5506c completed March 28, 2026, 1:32 a.m.
Created at: March 27, 2026, 2:19 p.m.