Triple
T30121805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phrygilus gayi |
E765579
|
entity |
| Predicate | sexDescriptionFemale |
P78623
|
FINISHED |
| Object | female duller in coloration |
—
|
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: female duller in coloration | Statement: [Phrygilus gayi, sexDescriptionFemale, female duller in coloration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sexDescriptionFemale Context triple: [Phrygilus gayi, sexDescriptionFemale, female duller in coloration]
-
A.
femaleSubject
Indicates that the subject in the relationship or action is female.
-
B.
femaleFeature
chosen
Indicates that the subject possesses a characteristic or attribute that is typically associated with females.
-
C.
femaleMember
Indicates that one entity is a member of a group or organization and is identified as female.
-
D.
femaleHas
Indicates that a specified entity is female or possesses a female gender attribute in relation to another entity or context.
-
E.
sexType
Indicates the specific category or type of sexual activity or sexual relationship involved between entities.
- 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_69f2247716748190ae4f16998f49ddf1 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67debf2308190b955958a85154a24 |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:13 p.m.