Triple
T3105485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nobbys Lighthouse |
E64819
|
entity |
| Predicate | previousLightSource |
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: [Nobbys Lighthouse, previousLightSource, oil lamp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousLightSource Context triple: [Nobbys Lighthouse, previousLightSource, oil lamp]
-
A.
lightSourceFor
Indicates that one entity serves as the source of illumination for another entity.
-
B.
lightSourceGeneration
Indicates that an entity produces or emits light, serving as a source of illumination for other entities or the environment.
-
C.
originalIllumination
chosen
Indicates that an entity provides the initial or primary source of light or illumination for another entity or context.
-
D.
illuminationCondition
Indicates the lighting or brightness conditions under which an event, observation, or interaction takes place.
-
E.
lightingColor
Indicates the color or hue of the lighting applied to or associated with an entity.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada29beff08190b6e1eb6b0608d0eb |
completed | March 8, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69ad9df25d4c81908ff0f6cff55d0563 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:03 p.m.