Triple
T21407387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Bari |
E528073
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Bitonto |
—
|
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: Bitonto | Statement: [Province of Bari, contains, Bitonto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bitonto Context triple: [Province of Bari, contains, Bitonto]
-
A.
Bitonto
chosen
Bitonto is a historic town in Italy’s Apulia region, renowned for its well-preserved medieval architecture and high-quality olive oil production.
-
B.
Fasano
Fasano is a historic town and popular tourist destination in the Apulia region of southern Italy, known for its whitewashed old center, nearby trulli houses, and coastal resorts.
-
C.
Contigliano
Contigliano is a small town and comune in the province of Rieti in the Lazio region of central Italy.
-
D.
Montefano
Montefano is a small historic town in Italy’s Marche region, known for its hilltop setting and traditional rural character.
-
E.
Schignano
Schignano is a small Italian village in the Lombardy region, known for its traditional Alpine setting and historic Carnival celebrations.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b1b1acd881908556981ed788340c |
completed | April 22, 2026, 11:32 a.m. |
Created at: April 16, 2026, 5:32 p.m.