Triple
T12556385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Europa Point Lighthouse |
E295227
|
entity |
| Predicate | lightPeriod |
P105876
|
FINISHED |
| Object | 10 seconds |
—
|
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: 10 seconds | Statement: [Europa Point Lighthouse, lightPeriod, 10 seconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightPeriod Context triple: [Europa Point Lighthouse, lightPeriod, 10 seconds]
-
A.
lightRange
Indicates the distance or area over which a light source effectively emits or illuminates.
-
B.
lightType
Indicates the specific category or kind of light associated with an entity or lighting setup.
-
C.
lightLevel
Indicates the intensity or amount of light present in a given context or environment.
-
D.
lightOrganFunction
Indicates that one entity serves as the functional light-producing organ or structure for another entity.
-
E.
lightPath
Indicates the route or trajectory that light follows as it travels between entities or through a medium.
- 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_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. |
| PDg | Predicate description generation | batch_69d95f5148948190946a575d812b329d |
completed | April 10, 2026, 8:36 p.m. |
Created at: April 8, 2026, 11:47 p.m.