Triple

T23068471
Position Surface form Disambiguated ID Type / Status
Subject Martina Franca E575121 entity
Predicate locatedNear P294 FINISHED
Object Alberobello 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: Alberobello | Statement: [Martina Franca, locatedNear, Alberobello]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alberobello
Context triple: [Martina Franca, locatedNear, Alberobello]
  • A. Alberobello chosen
    Alberobello is a town in southern Italy’s Apulia region famed for its distinctive whitewashed trulli houses with conical stone roofs, a UNESCO World Heritage Site.
  • B. Pitigliano
    Pitigliano is a picturesque hilltop town in southern Tuscany, Italy, renowned for its well-preserved Jewish heritage and historic ghetto, earning it the nickname “Little Jerusalem.”
  • C. Canicattini Bagni
    Canicattini Bagni is a small town and comune in southeastern Sicily, Italy, known for its traditional architecture and proximity to the baroque cities of the Val di Noto.
  • D. Matera
    Matera is a historic city in southern Italy renowned for its ancient cave dwellings, the Sassi, a UNESCO World Heritage Site.
  • E. Nocera Umbra
    Nocera Umbra is a historic hill town in the Umbria region of central Italy, known for its medieval architecture and mineral springs.
  • 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f189a5aa4081909b3f0dc92877323d completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.