Triple
T17834324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cilento |
E445342
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Agropoli |
—
|
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: Agropoli | Statement: [Cilento, contains, Agropoli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agropoli Context triple: [Cilento, contains, Agropoli]
-
A.
Agropoli
chosen
Agropoli is a coastal town in southern Italy known for its historic hilltop center, medieval castle, and beaches along the Cilento coast.
-
B.
Moscopole
Moscopole is a historic town in southeastern Albania known as a former cultural and commercial center of the Balkans, especially significant in Aromanian (Vlach) history.
-
C.
Policoro
Policoro is a town in the Basilicata region of southern Italy, known for its coastal location on the Ionian Sea and nearby ancient Greek archaeological remains.
-
D.
Grottaglie
Grottaglie is an Italian town in the Apulia region renowned for its historic ceramics tradition and characteristic whitewashed old quarter.
-
E.
Petroupoli
Petroupoli is a suburban municipality in the northwestern part of the Athens metropolitan area in Greece.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d2635a081909d4d48d22e260f8e |
completed | April 19, 2026, 8:07 a.m. |
Created at: April 10, 2026, 10:15 a.m.