Triple
T12556374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Europa Point Lighthouse |
E295227
|
entity |
| Predicate | guidesShipsAt |
P79264
|
FINISHED |
| Object | entrance to the Mediterranean Sea |
—
|
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: entrance to the Mediterranean Sea | Statement: [Europa Point Lighthouse, guidesShipsAt, entrance to the Mediterranean Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: guidesShipsAt Context triple: [Europa Point Lighthouse, guidesShipsAt, entrance to the Mediterranean Sea]
-
A.
guidesVesselsTo
chosen
Indicates directing or leading vessels along a route or toward a destination.
-
B.
mooredAt
Indicates that one object, typically a vessel or floating structure, is secured or anchored at a specific location or facility.
-
C.
harbours
Indicates that one entity provides shelter, refuge, or concealment for another, often by keeping it safe or hidden.
-
D.
marineAttraction
Indicates a relationship where one entity serves as a point of interest or entertainment specifically related to marine life or the marine environment for another entity.
-
E.
berthingOrDockingTarget
Indicates that an entity serves as the location or structure where a vessel or vehicle is intended to berth or dock.
- F. None of above.
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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d95410d0b0819097646edd1b837104 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 11:47 p.m.