Triple
T27726981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ko Haa |
E697326
|
entity |
| Predicate | typicalMarineSpecies |
P104020
|
FINISHED |
| Object | clownfish |
—
|
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: clownfish | Statement: [Ko Haa, typicalMarineSpecies, clownfish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMarineSpecies Context triple: [Ko Haa, typicalMarineSpecies, clownfish]
-
A.
primaryMarineSpeciesObserved
Indicates that the specified marine species is the main or most frequently observed species in a given observation or survey context.
-
B.
hasMarineSpecies
Indicates that an entity contains, supports, or is associated with one or more marine species.
-
C.
harborsSpecies
chosen
Indicates that a location or environment contains, supports, or provides habitat for a particular species.
-
D.
marineLifeTrend
Indicates a change over time in the abundance, health, or distribution of marine life populations.
-
E.
marineBiodiversityLevel
Indicates the degree or richness of species variety and ecological complexity present within a marine environment.
- 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_69ef590c3e288190ad54d2465af8ca4e |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69fff4530f908190afe9387f732c2b7e |
completed | May 10, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69fff3c01a64819091196875b0c88607 |
completed | May 10, 2026, 2:56 a.m. |
Created at: April 27, 2026, 3:09 p.m.