Triple

T21549217
Position Surface form Disambiguated ID Type / Status
Subject Valdarno E531715 entity
Predicate hasTown P847 FINISHED
Object Pontassieve 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: Pontassieve | Statement: [Valdarno, hasTown, Pontassieve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pontassieve
Context triple: [Valdarno, hasTown, Pontassieve]
  • A. Pontassieve chosen
    Pontassieve is a Tuscan town in central Italy, near Florence, known for its historic bridges, wine production, and scenic position at the confluence of several rivers.
  • B. Mercatale Valdarno
    Mercatale Valdarno is a village in Tuscany, central Italy, that forms one of the localities within the municipality of Bucine in the province of Arezzo.
  • C. Ostiglia
    Ostiglia is a small Italian town in Lombardy known for its strategic location along the Po River and its historical role as a river port and trading center.
  • D. Poggio Pertuso
    Poggio Pertuso is a small coastal locality within the municipality of Monte Argentario in Tuscany, Italy, known for its scenic views over the Tyrrhenian Sea.
  • E. Monterubbiano
    Monterubbiano is a historic hilltop town in Italy’s Marche region, known for its medieval architecture and panoramic views over the surrounding countryside.
  • 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb5917fb88190a8d37831cced75dc completed April 27, 2026, 1:02 a.m.
Created at: April 16, 2026, 6:28 p.m.