Triple
T32357860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glyptocephalus cynoglossus |
E826781
|
entity |
| Predicate | benthosAssociation |
P90934
|
FINISHED |
| Object | bottom-dwelling |
—
|
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: bottom-dwelling | Statement: [Glyptocephalus cynoglossus, benthosAssociation, bottom-dwelling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: benthosAssociation Context triple: [Glyptocephalus cynoglossus, benthosAssociation, bottom-dwelling]
-
A.
benthicAssociation
chosen
Indicates a relationship in which one entity is associated with, lives on, or interacts closely with the bottom (benthic) zone of a body of water.
-
B.
basinInteractsWith
Indicates that one basin affects or exchanges material, energy, or influence with another basin through some form of interaction.
-
C.
associatedWithSea
Indicates a relationship in which something has a connection, relevance, or linkage to the sea or marine environment.
-
D.
connectsBodyOfWater
Indicates a relationship where one entity serves as a link or passage between two bodies of water, allowing them to be joined or interact.
-
E.
associatedWithWaterways
Indicates a relationship in which something is connected, linked, or relevant to waterways such as rivers, canals, or streams.
- 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_69f34915a2588190bb3178f5ec2f48f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6be9029508190b3e33e5dd44cf489 |
completed | May 3, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:49 a.m.