Triple
T21781532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacobson’s organ |
E537724
|
entity |
| Predicate | oftenReducedOrAbsentIn |
P13714
|
FINISHED |
| Object | adult humans |
—
|
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: adult humans | Statement: [Jacobson’s organ, oftenReducedOrAbsentIn, adult humans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenReducedOrAbsentIn Context triple: [Jacobson’s organ, oftenReducedOrAbsentIn, adult humans]
-
A.
notObservedIn
Indicates that a particular entity, event, or property has not been detected, recorded, or seen within a specified context, dataset, or environment.
-
B.
typicallyLack
chosen
Indicates that one entity is characteristically or usually without, or does not possess, another entity or attribute.
-
C.
rarelyDepicts
Indicates that one entity infrequently or only in exceptional cases portrays, represents, or shows another entity.
-
D.
reducedRepresentationOf
Indicates that one entity is a simplified, compressed, or lower-detail version of another entity while preserving its essential information or structure.
-
E.
oneOfFewIn
Indicates that an entity is one among a small, limited number of entities that are in or belong to a specified set, group, 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0462db0208190ad31c132d3f875bc |
completed | April 28, 2026, 5:31 a.m. |
| PD | Predicate disambiguation | batch_69e6be6299988190a34c98fa76d94700 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:52 p.m.