Triple
T8778614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chieti |
E208665
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Chieti Scalo |
E208665
|
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: Chieti Scalo | Statement: [Chieti, hasPart, Chieti Scalo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chieti Scalo Context triple: [Chieti, hasPart, Chieti Scalo]
-
A.
Chieti
chosen
Chieti is an ancient city in the Abruzzo region of central Italy, known for its Roman archaeological sites and medieval architecture.
-
B.
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.
-
C.
Foggia
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.
-
D.
Teramo
Teramo is a historic city in the Abruzzo region of central Italy, known for its Roman archaeological remains and medieval architecture.
-
E.
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.
- 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_69ca835fbee88190bf625939bac48d7f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f531bd481909d877dadf9b6e9fb |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc921d3408190a2f823473bf9b4bc |
completed | April 3, 2026, 2:05 p.m. |
Created at: March 30, 2026, 6:42 p.m.