Triple
T33362255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green fluorescent protein |
E854252
|
entity |
| Predicate | emitsFluorescenceColor |
P176546
|
FINISHED |
| Object | green |
—
|
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: green | Statement: [Green fluorescent protein, emitsFluorescenceColor, green]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emitsFluorescenceColor Context triple: [Green fluorescent protein, emitsFluorescenceColor, green]
-
A.
emitsWavelength
Indicates that one entity produces or gives off electromagnetic radiation at a specified wavelength associated with another entity.
-
B.
hasPhosphorescence
Indicates that one entity exhibits phosphorescence as a property or characteristic.
-
C.
laserColor
Indicates the color attribute associated with a laser in the relationship or action.
-
D.
luminescenceCapability
Indicates the ability of an entity to emit light through luminescence.
-
E.
hasIridescentColor
Indicates that an entity exhibits a shimmering, color-changing appearance that varies with viewing angle or lighting.
- 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_69f3496bda8c8190bfc8fade9d1b791c |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6e312d7fc819094dec41810f2585d |
completed | May 3, 2026, 5:54 a.m. |
Created at: May 1, 2026, 1:34 a.m.