Triple
T26243524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USCG Light List number 1-0045 |
E656377
|
entity |
| Predicate | lightName |
P160395
|
FINISHED |
| Object | Halfway Rock Light |
—
|
NE NERFINISHED |
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: Halfway Rock Light | Statement: [USCG Light List number 1-0045, lightName, Halfway Rock Light]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightName Context triple: [USCG Light List number 1-0045, lightName, Halfway Rock Light]
-
A.
lightType
Indicates the specific category or kind of light associated with an entity or lighting setup.
-
B.
lightSourceFor
Indicates that one entity serves as the source of illumination for another entity.
-
C.
lightFunction
Indicates that one entity serves as a source or means of illumination or lighting for another entity or context.
-
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_69ee5b4c59a881909d9ee4fd013fffd5 |
completed | April 26, 2026, 6:37 p.m. |
| NER | Named-entity recognition | batch_69f60dc4aa808190ba3b5682944a7fb8 |
completed | May 2, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fd90fc81909055b211368f9139 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f600be0de88190989611e952b03117 |
completed | May 2, 2026, 1:48 p.m. |
Created at: April 26, 2026, 9:04 p.m.