Triple
T13876918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Horta |
E333604
|
entity |
| Predicate | hasMarina |
P3007
|
FINISHED |
| Object | Horta Marina |
E349277
|
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: Horta Marina | Statement: [Municipality of Horta, hasMarina, Horta Marina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Horta Marina Context triple: [Municipality of Horta, hasMarina, Horta Marina]
-
A.
Manilva
Manilva is a coastal municipality in the province of Málaga in southern Spain, known for its beaches, vineyards, and location at the western end of the Costa del Sol.
-
B.
Port of Horta
chosen
Port of Horta is a major Atlantic yachting and commercial harbor on Faial Island in the Azores, renowned as a key stopover for transoceanic sailors.
-
C.
Quarteira
Quarteira is a coastal town in Portugal’s Algarve region known for its long sandy beaches, seaside promenade, and role as a popular holiday resort.
-
D.
Horta
Horta is a coastal city on the island of Faial in the Azores, known for its historic transatlantic harbor and vibrant marina frequented by ocean-crossing yachts.
-
E.
Horta
Horta is a Barcelona Metro station serving the Horta neighborhood in the city’s northeastern district.
- 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0be556708190bbcf0b3583f677e3 |
completed | April 14, 2026, 9:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc31c38e481909a86cda6c913fb8e |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:15 p.m.