Triple
T19360621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sibylla of Conversano |
E484268
|
entity |
| Predicate | placeOfOrigin |
P3743
|
FINISHED |
| Object | Conversano |
—
|
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: Conversano | Statement: [Sibylla of Conversano, placeOfOrigin, Conversano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conversano Context triple: [Sibylla of Conversano, placeOfOrigin, Conversano]
-
A.
Conversano
chosen
Conversano is a historic hilltop town in the Apulia region of southern Italy, known for its medieval castle, Romanesque cathedral, and traditional white-stone architecture.
-
B.
Parla
Parla is a suburban municipality and residential town located in the southern metropolitan area of Madrid, Spain.
-
C.
Melfi
Melfi is a historic town in southern Italy known as an important medieval center of Norman rule and site of several papal councils.
-
D.
Bolognano
Bolognano is a small Italian municipality in the Abruzzo region, known for its scenic setting near the Maiella mountains and its historic architecture.
-
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.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6190c2a8081908f48dfa738248ec8 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 10, 2026, 1:34 p.m.