Triple
T19475409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis, Duke of Anjou |
E487232
|
entity |
| Predicate | deathPlace |
P21
|
FINISHED |
| Object | Bisceglie |
—
|
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: Bisceglie | Statement: [Louis, Duke of Anjou, deathPlace, Bisceglie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bisceglie Context triple: [Louis, Duke of Anjou, deathPlace, Bisceglie]
-
A.
Bisceglie
chosen
Bisceglie is a historic coastal city in the Apulia region of southern Italy, known for its medieval architecture and Adriatic seafront.
-
B.
Bisceglie
Bisceglie is a station in Milan that serves as one of the western termini of the city’s Line 1 metro route.
-
C.
Grottaglie
Grottaglie is an Italian town in the Apulia region renowned for its historic ceramics tradition and characteristic whitewashed old quarter.
-
D.
Battipaglia
Battipaglia is a town in southern Italy known for its agricultural production—especially buffalo mozzarella—and its role as an industrial and commercial hub in the Province of Salerno.
-
E.
Barletta
Barletta is a historic coastal city in the Apulia region of southern Italy, known for its medieval architecture and role as a provincial capital.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633f126988190890ff8e5730e4ad3 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:39 p.m.