Triple
T3957358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trapani |
E85813
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Marettimo |
E312030
|
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: Marettimo | Statement: [Trapani, near, Marettimo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marettimo Context triple: [Trapani, near, Marettimo]
-
A.
Moltrasio
Moltrasio is a picturesque lakeside town on the western shore of Lake Como in northern Italy, known for its historic villas and scenic views.
-
B.
Penedono
Penedono is a small Portuguese municipality in the Viseu district, known for its medieval castle and location within the Douro wine region.
-
C.
Miravalle
Miravalle is a neighborhood located within the Benito Juárez borough of Mexico City, known for its residential character and urban amenities.
-
D.
Maiori
Maiori is a seaside town on Italy’s Amalfi Coast known for its long sandy beach and historic coastal architecture.
-
E.
Ventotene
chosen
Ventotene is a small Italian island in the Tyrrhenian Sea, historically known as a place of confinement for political prisoners and as the birthplace of key ideas behind European integration.
- 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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef95bbb9c8190bd64c5b7ea2f341a |
completed | March 9, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533b1bd1c81909d901ee334cb7b31 |
completed | March 14, 2026, 10:08 a.m. |
Created at: March 9, 2026, 3:31 p.m.