Triple

T17236672
Position Surface form Disambiguated ID Type / Status
Subject Orbetello Lagoon E418379 entity
Predicate near P350 FINISHED
Object town of Orbetello E458852 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 Orbetello | Statement: [Orbetello Lagoon, near, town of Orbetello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: town of Orbetello
Context triple: [Orbetello Lagoon, near, town of Orbetello]
  • A. Orbetello chosen
    Orbetello is a coastal town and lagoon in Tuscany, central Italy, known historically as a seaplane base and military aviation hub.
  • B. Rosolini
    Rosolini is a town and comune in southeastern Sicily, Italy, known for its baroque architecture and agricultural production.
  • C. Savignano Mare
    Savignano Mare is a seaside resort locality on the Adriatic coast of Italy, forming the coastal area of the municipality of Savignano sul Rubicone in Emilia-Romagna.
  • D. Quarrata
    Quarrata is a Tuscan town in central Italy known for its furniture industry and proximity to the cities of Pistoia and Florence.
  • E. Follonica
    Follonica is a coastal town and popular seaside resort in Tuscany, Italy, known for its sandy beaches along the Tyrrhenian 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dfbc6e88190a3dd7930fd1681ac completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01676596a48190ae17a411b86e613e completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:39 a.m.