Triple
T29179436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dipodomys deserti |
E739703
|
entity |
| Predicate | fecesCharacteristic |
P166392
|
FINISHED |
| Object | produces dry feces |
—
|
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: produces dry feces | Statement: [Dipodomys deserti, fecesCharacteristic, produces dry feces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fecesCharacteristic Context triple: [Dipodomys deserti, fecesCharacteristic, produces dry feces]
-
A.
fecesShape
Indicates the characteristic form or outline of an entity’s feces.
-
B.
fleshCharacteristic
Indicates that one entity has a particular property, quality, or attribute of its flesh (such as texture, color, or condition) in relation to another entity or value.
-
C.
isExcretedVia
Indicates that a substance or waste product leaves an organism’s body through a specified anatomical route or excretory mechanism.
-
D.
stomachContents
Indicates that one entity is the material or substances currently contained within another entity’s stomach.
-
E.
issueCharacterization
Indicates how an issue, problem, or case is categorized or described in terms of its nature, type, or defining attributes.
- 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_69f07cb74c2c8190ad396487fcb4fde6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f66343216c81909f1a6503d1538608 |
completed | May 2, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69f65c24f8b48190af81b575f3c15be5 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65fb2ead08190b06677d4d6ea1ea8 |
completed | May 2, 2026, 8:33 p.m. |
Created at: April 28, 2026, 11:56 a.m.