Triple
T35580957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capra pyrenaica victoriae |
E1028221
|
entity |
| Predicate | hasBodyCharacteristic |
P31173
|
FINISHED |
| Object | robust build |
—
|
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: robust build | Statement: [Capra pyrenaica victoriae, hasBodyCharacteristic, robust build]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBodyCharacteristic Context triple: [Capra pyrenaica victoriae, hasBodyCharacteristic, robust build]
-
A.
hasHumanCharacteristic
Indicates that an entity possesses a trait, quality, or behavior typically associated with humans.
-
B.
hasBodyComposition
Indicates a relationship where an entity possesses or is characterized by a particular makeup or proportion of physical components (such as tissues, substances, or materials) in its body.
-
C.
hasPhysicalFeature
chosen
Indicates that one entity possesses or exhibits a specific physical characteristic or feature of another entity.
-
D.
hasGivingBodyType
Indicates that one entity serves as the physical or organizational source that gives or grants something to another entity.
-
E.
legCharacteristic
Indicates a characteristic, property, or attribute that specifically pertains to the legs of 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_69f76e0495a081909beced418558c0b4 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fde9fc184c8190bebef35df0e76076 |
completed | May 8, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69fde6e5beb4819094945a695e961d88 |
completed | May 8, 2026, 1:36 p.m. |
Created at: May 3, 2026, 4:04 p.m.