Triple
T20533349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bibbona |
E504124
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Bolgheri
Bolgheri is a renowned village in Tuscany, Italy, famous for its Super Tuscan wines and picturesque cypress-lined avenues.
|
E1440431
|
NE FINISHED |
How this triple was built (4 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: Bolgheri | Statement: [Bibbona, locatedNear, Bolgheri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bolgheri Context triple: [Bibbona, locatedNear, Bolgheri]
-
A.
Borgotaro
Borgotaro is a town and municipality in the Emilia-Romagna region of northern Italy, known for its surrounding Apennine landscapes and prized porcini mushrooms.
-
B.
Schignano
Schignano is a small Italian village in the Lombardy region, known for its traditional Alpine setting and historic Carnival celebrations.
-
C.
Varazze
Varazze is a coastal town and popular seaside resort on the Italian Riviera in the Liguria region of northwestern Italy.
-
D.
Zagarolo
Zagarolo is a historic hill town in the Lazio region of central Italy, known for its medieval center and proximity to Rome.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bolgheri Triple: [Bibbona, locatedNear, Bolgheri]
Generated description
Bolgheri is a renowned village in Tuscany, Italy, famous for its Super Tuscan wines and picturesque cypress-lined avenues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bolgheri Target entity description: Bolgheri is a renowned village in Tuscany, Italy, famous for its Super Tuscan wines and picturesque cypress-lined avenues.
-
A.
Borgotaro
Borgotaro is a town and municipality in the Emilia-Romagna region of northern Italy, known for its surrounding Apennine landscapes and prized porcini mushrooms.
-
B.
Schignano
Schignano is a small Italian village in the Lombardy region, known for its traditional Alpine setting and historic Carnival celebrations.
-
C.
Varazze
Varazze is a coastal town and popular seaside resort on the Italian Riviera in the Liguria region of northwestern Italy.
-
D.
Zagarolo
Zagarolo is a historic hill town in the Lazio region of central Italy, known for its medieval center and proximity to Rome.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69e0b4b476648190bc6019622ae54d3c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a06d30508190a13d1a9855b441fb |
completed | April 20, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08b3d9fe848190a74195d1172e953d |
completed | May 16, 2026, 6:13 p.m. |
| NEDg | Description generation | batch_6a08b7f49ef08190add0d978c115f97f |
completed | May 16, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08b858ec8881908a5c58c03b51bada |
completed | May 16, 2026, 6:32 p.m. |
Created at: April 16, 2026, 11:37 a.m.