Triple
T14352816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gulf of Salerno |
E355896
|
entity |
| Predicate | hasCoastalTown |
P969
|
FINISHED |
| Object | Cetara |
E385225
|
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: Cetara | Statement: [Gulf of Salerno, hasCoastalTown, Cetara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cetara Context triple: [Gulf of Salerno, hasCoastalTown, Cetara]
-
A.
Cetara
chosen
Cetara is a small traditional fishing village and coastal town in southern Italy, known for its anchovy-based cuisine and picturesque setting on the Amalfi Coast.
-
B.
Tebrau
Tebrau is a suburban township and rapidly developing residential and commercial area located within Johor Bahru in the Malaysian state of Johor.
-
C.
Sutera
Sutera is a historic hilltop town in central Sicily, Italy, known for its medieval architecture and panoramic views over the surrounding countryside.
-
D.
Napareuli
Napareuli is a Georgian wine appellation in the Kakheti region, known for producing high-quality wines, particularly from the Saperavi grape.
-
E.
كتارا
كتارا هي قرية ثقافية في الدوحة بقطر تُعد مركزًا للفنون والتراث والفعاليات الثقافية المتنوعة.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f4ff1e48190bd9419d70098cede |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c44ff4c8190bbcc7a34b98ac330 |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:14 a.m.