Triple
T15220274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caniformia |
E363746
|
entity |
| Predicate | earCharacteristic |
P44571
|
FINISHED |
| Object | oftenProminentExternalEars |
—
|
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: oftenProminentExternalEars | Statement: [Caniformia, earCharacteristic, oftenProminentExternalEars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earCharacteristic Context triple: [Caniformia, earCharacteristic, oftenProminentExternalEars]
-
A.
earType
Indicates the specific kind or classification of ears associated with an entity.
-
B.
hasEarlobeColor
Indicates that an entity has a specific color associated with its earlobes.
-
C.
earDescription
chosen
Indicates a textual description of the characteristics or appearance of an entity’s ear or ears.
-
D.
neckCharacteristic
Indicates that an entity has a specific attribute, feature, or quality related to its neck.
-
E.
hasPhysicalFeature
Indicates that one entity possesses or exhibits a specific physical characteristic or feature of another 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007709d3881908384f0fe1e0218d0 |
completed | April 15, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69deca8479188190b2e5d3bc708d7d07 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:11 a.m.