Triple
T16267701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sipuncula |
E394914
|
entity |
| Predicate | hasSexes |
P1438
|
FINISHED |
| Object | mostly dioecious |
—
|
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: mostly dioecious | Statement: [Sipuncula, hasSexes, mostly dioecious]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSexes Context triple: [Sipuncula, hasSexes, mostly dioecious]
-
A.
hasNumberOfGenders
chosen
Indicates the relationship that specifies how many distinct genders are associated with or recognized for a given entity.
-
B.
sexes
Indicates that one entity engages in sexual activity with another entity.
-
C.
hasSex
Indicates that one entity engages in sexual activity with another entity.
-
D.
hasSexStatus
Indicates that one entity has a particular sexual status or condition in relation to another entity or context.
-
E.
isSingleSex
Indicates that the entity involves or is restricted to only one biological sex or gender, rather than being mixed or coeducational.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c963ec8190b059fecac6248cd9 |
completed | April 17, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69e219f259e88190bf49d8408c04178e |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:05 a.m.