Triple
T18092047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laguna Grande (Fajardo) |
E432995
|
entity |
| Predicate | hasTypeOfBioluminescence |
P37268
|
FINISHED |
| Object | dinoflagellate bioluminescence |
—
|
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: dinoflagellate bioluminescence | Statement: [Laguna Grande (Fajardo), hasTypeOfBioluminescence, dinoflagellate bioluminescence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfBioluminescence Context triple: [Laguna Grande (Fajardo), hasTypeOfBioluminescence, dinoflagellate bioluminescence]
-
A.
usesBioluminescenceFor
Indicates that an entity employs bioluminescence specifically for a particular function, purpose, or context.
-
B.
bioluminescent
Indicates that an entity produces and emits light through a biological chemical reaction.
-
C.
bioluminescenceSource
chosen
Indicates that one entity is the origin or producer of the bioluminescent light exhibited by another entity.
-
D.
bioluminescenceTriggeredBy
Indicates that an organism’s bioluminescent emission occurs as a result of a specified trigger or stimulus.
-
E.
hasPhosphorescence
Indicates that one entity exhibits phosphorescence as a property or characteristic.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd1972a881908072990de0715547 |
completed | April 19, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69e4330e1f2881908b2506d47c48736b |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:27 a.m.