Triple
T9046990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Brindisi |
E216777
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Mesagne |
E216776
|
NE FINISHED |
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: Mesagne | Statement: [Province of Brindisi, contains, Mesagne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mesagne Context triple: [Province of Brindisi, contains, Mesagne]
-
A.
Mesagne
chosen
Mesagne is a historic town in Italy’s Apulia region, known for its well-preserved medieval center and strategic location near Brindisi.
-
B.
Gela
Gela is an Oceanic language spoken primarily in the Solomon Islands, particularly on Nggela (Florida) Islands in Central Province.
-
C.
Gela
Gela is an ancient Greek colonial city on the southern coast of Sicily that was a significant center of Magna Graecia.
-
D.
Alatri
Alatri is a historic hill town in Italy’s Lazio region, renowned for its well-preserved ancient polygonal walls and acropolis dating back to the pre-Roman era.
-
E.
Lixouri
Lixouri is a coastal town and one of the main settlements on the Greek island of Kefalonia, known for its harbor, beaches, and relaxed atmosphere.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b4e4b888190a425e29b193b506f |
completed | April 1, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebb7f668819099125ab727cd50b1 |
completed | April 3, 2026, 4:32 p.m. |
Created at: March 30, 2026, 7:09 p.m.