Triple
T21558748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porto d’Ascoli |
E531958
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Ascoli Piceno |
—
|
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: Ascoli Piceno | Statement: [Porto d’Ascoli, nearbyCity, Ascoli Piceno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ascoli Piceno Context triple: [Porto d’Ascoli, nearbyCity, Ascoli Piceno]
-
A.
Ascoli Piceno
chosen
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.
-
B.
Civitanova Marche
Civitanova Marche is a coastal town and popular seaside resort on the Adriatic Sea in the Marche region of central Italy.
-
C.
Ascoli Satriano
Ascoli Satriano is a historic town in the Apulia region of southern Italy, known for its ancient origins and archaeological heritage.
-
D.
Campobasso
Campobasso is a historic city in southern-central Italy that serves as the capital of the Molise region, known for its medieval castle and traditional craftsmanship.
-
E.
Chieti
Chieti is an ancient city in the Abruzzo region of central Italy, known for its Roman archaeological sites and medieval architecture.
- 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_69e0c460232c81908de2c3819d17c00e |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e21c5c8190aa32795e41f1550e |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 16, 2026, 6:29 p.m.