Triple
T37661558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Small End Islands |
E937727
|
entity |
| Predicate | hasAmbientLightLevel |
P12262
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [Small End Islands, hasAmbientLightLevel, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAmbientLightLevel Context triple: [Small End Islands, hasAmbientLightLevel, 0]
-
A.
hasIlluminationProperty
Indicates that one entity possesses or is characterized by a specific illumination-related attribute or quality in relation to another.
-
B.
isIlluminated
Indicates that one entity provides light to another entity, making it lit or visible.
-
C.
hasVariableBrightness
Indicates that the brightness of an entity is not constant but changes over time or under different conditions.
-
D.
lightLevel
chosen
Indicates the intensity or amount of light present in a given context or environment.
-
E.
hasLumen
Indicates that one entity possesses or is characterized by a specific luminous intensity or light output measured in lumens.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.