Triple
T4968284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faetar |
E111579
|
entity |
| Predicate | spokenInProvince |
P44118
|
FINISHED |
| Object | Foggia |
E211126
|
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: Foggia | Statement: [Faetar, spokenInProvince, Foggia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foggia Context triple: [Faetar, spokenInProvince, Foggia]
-
A.
Foggia
chosen
Foggia is a city in the Apulia region of southern Italy, historically significant as a medieval center and later as an important agricultural and commercial hub.
-
B.
Chieti
Chieti is an ancient city in the Abruzzo region of central Italy, known for its Roman archaeological sites and medieval architecture.
-
C.
Pescara
Pescara is a coastal city in the Abruzzo region of central Italy, known for its Adriatic beaches, modern urban layout, and role as a commercial and tourist hub.
-
D.
Ascoli Piceno
Ascoli Piceno is a historic city in central Italy renowned for its medieval architecture, travertine-paved old town, and signature stuffed olive dish, olive all’ascolana.
-
E.
Termoli
Termoli is a coastal town and popular seaside resort on the Adriatic Sea in southern Italy, known for its historic old town and beaches.
- 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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7210c8f081908e36595a12d07f64 |
completed | March 20, 2026, 4:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb0daa53481908c705ca3698ab777 |
completed | March 21, 2026, 2:53 p.m. |
Created at: March 20, 2026, 1:32 p.m.