Triple
T18318608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghaiyyath |
E438810
|
entity |
| Predicate | sexOrGeldingStatus |
P75523
|
FINISHED |
| Object | entire |
—
|
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: entire | Statement: [Ghaiyyath, sexOrGeldingStatus, entire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sexOrGeldingStatus Context triple: [Ghaiyyath, sexOrGeldingStatus, entire]
-
A.
sexStatusAtStud
Indicates the reproductive or sexual condition of an animal at the time it is used for breeding or stud purposes.
-
B.
sexStatus
Indicates whether and how a sexual relationship or sexual activity exists or has occurred between the related entities.
-
C.
breedingStatus
chosen
Indicates the reproductive condition or phase an entity is currently in, such as whether it is capable of, engaged in, or excluded from breeding.
-
D.
sexType
Indicates the specific category or type of sexual activity or sexual relationship involved between entities.
-
E.
hasSexStatus
Indicates that one entity has a particular sexual status or condition in relation to another entity or context.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa342a881909afcd995405027af |
completed | April 19, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69e44fe4ee10819086b4142444fca1f5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:36 a.m.