Triple
T1617943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marquette Harbor Lighthouse |
E34761
|
entity |
| Predicate | originalIllumination |
P30479
|
FINISHED |
| Object | oil lamp |
—
|
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: oil lamp | Statement: [Marquette Harbor Lighthouse, originalIllumination, oil lamp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalIllumination Context triple: [Marquette Harbor Lighthouse, originalIllumination, oil lamp]
-
A.
originalLens
Indicates that one lens is the initial or source lens from which another lens or lens configuration is derived or referenced.
-
B.
originalRelease
Indicates the initial publication or first official release event of a work or product.
-
C.
originalColors
Indicates that something retains or is associated with its initial, unaltered set of colors.
-
D.
originallyIn
Indicates that something first appeared, was created, or was initially located within a particular context, source, or place.
-
E.
originalAspect
Indicates that one entity represents the initial or primary form, version, or facet from which another related entity is derived or viewed as a variation.
- 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93fef600c819080fe75c42c8e6dac |
completed | March 5, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69a907c52a548190b648a31ea306dd5b |
completed | March 5, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69a93fedcb108190ad91f938d5eeaaa2 |
completed | March 5, 2026, 8:33 a.m. |
Created at: March 4, 2026, 7:28 p.m.