Triple
T22978376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caldey Lighthouse |
E571387
|
entity |
| Predicate | flashPeriod |
P150478
|
FINISHED |
| Object | 7.5 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: 7.5 seconds | Statement: [Caldey Lighthouse, flashPeriod, 7.5 seconds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flashPeriod Context triple: [Caldey Lighthouse, flashPeriod, 7.5 seconds]
-
A.
flashType
Indicates the type or mode of flash used or associated with an event, object, or action.
-
B.
capturesPeriod
Indicates that one entity records, encompasses, or represents a specific span of time associated with another entity.
-
C.
focusPeriod
Indicates the specific time span during which attention, activity, or analysis is concentrated on something.
-
D.
frameDuration
Indicates the length of time that a single frame in a sequence (such as video or animation) is displayed before advancing to the next frame.
-
E.
pulseDuration
Indicates the length of time that a pulse or discrete signal remains active or at a specified level.
- 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_69e245b3c50481908bb3741ec9f40862 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18293f830819095cca91af7abd742 |
completed | April 29, 2026, 4:01 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9101f48190a06c69dff26c6441 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:49 p.m.