Triple
T10498734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ceratiidae |
E247610
|
entity |
| Predicate | femaleSizeRelativeToMale |
P41339
|
FINISHED |
| Object | females much larger than 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: females much larger than males | Statement: [Ceratiidae, femaleSizeRelativeToMale, females much larger than males]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: femaleSizeRelativeToMale Context triple: [Ceratiidae, femaleSizeRelativeToMale, females much larger than males]
-
A.
maleSmallerThanFemale
chosen
Indicates that, within a male–female pair, the male individual is smaller in size than the female individual.
-
B.
femaleMass
Indicates that the subject has a mass value specifically associated with its female form or female population.
-
C.
maleLargerThan
Indicates that the male individual in a pair is larger in size than the corresponding female or other compared individual.
-
D.
femaleHas
Indicates that a specified entity is female or possesses a female gender attribute in relation to another entity or context.
-
E.
sexualDimorphism
Indicates differences in physical characteristics between males and females of a species that are systematically associated with their sex.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5098e45ec8190a02b981a06786909 |
completed | April 7, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69d4fb8e24ac8190912c9f11b8bd3084 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:25 p.m.