Triple
T36847330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxyzygonectes |
E910584
|
entity |
| Predicate | commonNameCategory |
P199183
|
FINISHED |
| Object | killifish |
—
|
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: killifish | Statement: [Oxyzygonectes, commonNameCategory, killifish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commonNameCategory Context triple: [Oxyzygonectes, commonNameCategory, killifish]
-
A.
commonName
Indicates that one entity is the commonly used or vernacular name by which the other entity is known.
-
B.
commonNameGroup
Indicates that multiple entities share the same commonly used name or are grouped under a single common name.
-
C.
commonNameOf
Indicates that one entity is the commonly used or popular name by which the other entity is known.
-
D.
commonNameContext
Indicates that a common (non-scientific) name is used to refer to an entity within a specific contextual scope or usage situation.
-
E.
commonNameCountry
Indicates that a given name is the commonly used or widely recognized name for a particular country.
- F. None of above. chosen
Provenance (4 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_69f76e7f65a881908651b702da592b6d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff246e0d4481908bcec718e1d4025b |
completed | May 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69ff23cb70ac81909b776ace4597ae9c |
completed | May 9, 2026, 12:08 p.m. |
| PDg | Predicate description generation | batch_69ff246d53cc81909d5528224149b04b |
completed | May 9, 2026, 12:11 p.m. |
Created at: May 3, 2026, 4:13 p.m.