Triple
T9240732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sorrentine Coast |
E222051
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Sant’Agnello |
E444218
|
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: Sant’Agnello | Statement: [Sorrentine Coast, contains, Sant’Agnello]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sant’Agnello Context triple: [Sorrentine Coast, contains, Sant’Agnello]
-
A.
Sant’Agnello
chosen
Sant’Agnello is a coastal town on Italy’s Sorrento Peninsula known for its scenic cliffs, views over the Bay of Naples, and proximity to popular tourist destinations like Sorrento and the Amalfi Coast.
-
B.
Sant’Antimo
Sant’Antimo is a town in the Campania region of southern Italy, located near Naples.
-
C.
Sant’Anna
Sant’Anna is an Italian surname and place name commonly associated with various churches, localities, and institutions in Italy and other countries with Italian heritage.
-
D.
Cataldo
Cataldo is a small unincorporated community in northern Idaho known for its historic Cataldo Mission, the oldest standing building in the state.
-
E.
Roccagorga
Roccagorga is a small Italian town and comune in the Lazio region, known for its historic hilltop setting and traditional rural character.
- 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_69ca83ee26cc81909ac624e190597d6d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccf0a3888c8190b72d8d0b850bdfbc |
completed | April 1, 2026, 10:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09bc043ec81909393e8af03ab0117 |
completed | April 4, 2026, 5:04 a.m. |
Created at: March 30, 2026, 7:30 p.m.