Triple
T29197585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomomys bottae |
E740168
|
entity |
| Predicate | cheekPouchesUsedFor |
P120192
|
FINISHED |
| Object | carrying food |
—
|
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: carrying food | Statement: [Thomomys bottae, cheekPouchesUsedFor, carrying food]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cheekPouchesUsedFor Context triple: [Thomomys bottae, cheekPouchesUsedFor, carrying food]
-
A.
hasCheekPouches
Indicates that an entity possesses cheek pouches as a physical feature.
-
B.
pouch
Indicates that one entity is contained or stored within the pouch or pocket of another entity.
-
C.
haveSnouts
Indicates that the subject possesses or is characterized by snouts.
-
D.
usesCheer
Indicates that one entity employs or incorporates a cheer (such as a chant, slogan, or supportive exclamation) in relation to another entity or context.
-
E.
cavityUse
chosen
Indicates the use or functional purpose assigned to a particular cavity or hollow space in or on an entity.
- 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_69f07cb8033c8190b8807e219a14333d |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f663c2f7a481908481c41c06579b39 |
completed | May 2, 2026, 8:51 p.m. |
| PD | Predicate disambiguation | batch_69f65c24f8b48190af81b575f3c15be5 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 12:04 p.m.