Triple
T10133719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangor, County Down |
E226801
|
entity |
| Predicate | hasMarinaStatus |
P92155
|
FINISHED |
| Object | one of the largest marinas in Ireland |
—
|
LITERAL 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: one of the largest marinas in Ireland | Statement: [Bangor, County Down, hasMarinaStatus, one of the largest marinas in Ireland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMarinaStatus Context triple: [Bangor, County Down, hasMarinaStatus, one of the largest marinas in Ireland]
-
A.
hasMarinaService
Indicates that an entity provides marina-related services or facilities for boats and watercraft.
-
B.
hasMarineStatus
Indicates that an entity possesses a specific classification or condition related to its status in a marine or oceanic context.
-
C.
hasSeaportStatus
Indicates that an entity possesses the status or designation of being a seaport or having seaport facilities.
-
D.
hasMarinePark
Indicates that an entity possesses, contains, or is associated with a designated marine park area.
-
E.
hasHarbor
Indicates that a place possesses or contains a harbor for docking or sheltering vessels.
- F. None of above. chosen
Provenance (4 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_69ca8433ec308190b8b25a6fe359c34c |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd33808048190b6023a6cd83fc179 |
completed | April 2, 2026, 2:23 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba1d360819087698d04a53cc87e |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4fed19d481909d2c7ff1114664b6 |
completed | April 1, 2026, 5:03 p.m. |
Created at: March 30, 2026, 9:06 p.m.