Triple
T11400617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | okapi |
E270097
|
entity |
| Predicate | tongueFunction |
P99107
|
FINISHED |
| Object | used to strip leaves |
—
|
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: used to strip leaves | Statement: [okapi, tongueFunction, used to strip leaves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tongueFunction Context triple: [okapi, tongueFunction, used to strip leaves]
-
A.
tongueLength
Indicates the length of an entity’s tongue, typically as a measurable physical attribute.
-
B.
tongueColor
Indicates the color or hue that a tongue exhibits.
-
C.
tongueTincture
Indicates that an entity applies or administers a tincture by placing it on or under the tongue.
-
D.
jawFunction
Indicates the functional role, movement, or mechanical action performed by a jaw in relation to other anatomical structures or processes.
-
E.
hasOralDiscFunction
Indicates that an entity possesses a specific functional role or capability associated with its oral disc.
- F. None of above. chosen
Provenance (4 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d8001adc188190ae45227856156412 |
completed | April 9, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69d7e70ffd708190b62a78ebcbce9f78 |
completed | April 9, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69d80010712c819089ea2e31e664abe1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:34 p.m.