Triple
T7587495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coibita Island field site |
E179651
|
entity |
| Predicate | focusesOnTaxa |
P73333
|
FINISHED |
| Object | marine invertebrates |
—
|
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: marine invertebrates | Statement: [Coibita Island field site, focusesOnTaxa, marine invertebrates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnTaxa Context triple: [Coibita Island field site, focusesOnTaxa, marine invertebrates]
-
A.
hasMainTaxonomicFocus
chosen
Indicates that something (such as a work, study, or resource) primarily concerns or centers on a particular taxon as its main subject of taxonomic focus.
-
B.
taxonGroup
Indicates a classification relationship where one taxon is grouped within or associated with a broader taxonomic group.
-
C.
taxonOf
Indicates that one entity is the taxonomic group (taxon) to which the other entity belongs.
-
D.
affectsTaxon
Indicates that one entity has an impact or influence on a particular taxon or group of organisms.
-
E.
taxonCircumscription
Indicates the taxonomic scope or boundary within which a particular taxon is defined or delimited in a classification.
- 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_69c69f335248819093c1006f30513708 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f99875908190b09584cf13ea1e08 |
completed | March 27, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e04c2c8190a889d928515d9b8e |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:52 p.m.