Triple
T14808597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dogue de Bordeaux |
E348107
|
entity |
| Predicate | droolingLevel |
P42283
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Dogue de Bordeaux, droolingLevel, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: droolingLevel Context triple: [Dogue de Bordeaux, droolingLevel, high]
-
A.
wetnessLevel
chosen
Indicates the degree or intensity of how wet something is in relation to a reference state or scale.
-
B.
fromMouth
Indicates that something originates from or is emitted out of a mouth.
-
C.
mouthCharacteristic
Indicates that an entity has a specific property, feature, or quality related to its mouth.
-
D.
mouth
Indicates that one entity is the mouth (oral opening) of another entity, typically serving as the location for ingestion, speech, or related functions.
-
E.
tongueLength
Indicates the length of an entity’s tongue, typically as a measurable physical attribute.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf33b6a08190ab6a4cfeda2cc09c |
completed | April 14, 2026, 11:35 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:45 a.m.