Triple
T37449576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Photobacterium phosphoreum |
E930640
|
entity |
| Predicate | luciferaseReaction |
P187829
|
FINISHED |
| Object | FMNH2 + O2 + long-chain aldehyde → FMN + acid + H2O + light |
—
|
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: FMNH2 + O2 + long-chain aldehyde → FMN + acid + H2O + light | Statement: [Photobacterium phosphoreum, luciferaseReaction, FMNH2 + O2 + long-chain aldehyde → FMN + acid + H2O + light]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: luciferaseReaction Context triple: [Photobacterium phosphoreum, luciferaseReaction, FMNH2 + O2 + long-chain aldehyde → FMN + acid + H2O + light]
-
A.
luciferaseSubstrate
Indicates that one entity serves as a substrate that is acted upon by a luciferase enzyme associated with the other entity.
-
B.
fusionReactionExample
Indicates that one entity serves as an example or instance of a specific fusion reaction involving the other entity.
-
C.
luminescenceSystem
chosen
Indicates a system or mechanism responsible for producing or managing luminescent (light-emitting) effects.
-
D.
actsOnEnzyme
Indicates that one entity performs an action that affects the activity, function, or state of an enzyme.
-
E.
glowsInPresenceOf
Indicates that one entity emits or intensifies light when another specified entity or condition is present.
- 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_69f76ec0b9488190b7a4fae632bd1d2f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.