Triple
T33901023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porichthys notatus |
E869046
|
entity |
| Predicate | maleMorphTypes |
P177890
|
FINISHED |
| Object | Type I males |
—
|
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: Type I males | Statement: [Porichthys notatus, maleMorphTypes, Type I males]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maleMorphTypes Context triple: [Porichthys notatus, maleMorphTypes, Type I males]
-
A.
maleFeature
Indicates that the subject possesses a characteristic or attribute typically associated with males.
-
B.
maleResembles
Indicates that a male individual bears a notable physical or characteristic similarity to another entity.
-
C.
maleDisplay
Indicates that a male individual is performing a display behavior directed toward another entity, typically for attraction, competition, or signaling.
-
D.
maleEquivalent
Indicates that one entity is the corresponding male counterpart or equivalent of another entity.
-
E.
hasAsexualMorph
Indicates that an entity possesses or is associated with an asexual morphological form in its life cycle.
- 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_69f34997703c8190866b1d404bce531f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f70519f114819080659840c04d7911 |
completed | May 3, 2026, 8:19 a.m. |
Created at: May 1, 2026, 1:48 a.m.