Triple
T7801876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caprimulgiformes |
E180450
|
entity |
| Predicate | typicalMouth |
P73460
|
FINISHED |
| Object | very wide gape |
—
|
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: very wide gape | Statement: [Caprimulgiformes, typicalMouth, very wide gape]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMouth Context triple: [Caprimulgiformes, typicalMouth, very wide gape]
-
A.
fromMouth
Indicates that something originates from or is emitted out of a mouth.
-
B.
hasTypeOfMouth
chosen
Indicates that an entity possesses a mouth characterized by a specific type or form.
-
C.
mouth
Indicates that one entity is the mouth (oral opening) of another entity, typically serving as the location for ingestion, speech, or related functions.
-
D.
mouthOf
Indicates the location where one entity (typically a river or similar feature) empties into or opens out into another, larger body or feature.
-
E.
mouthDirection
Indicates the orientation or facing direction of a mouth relative to a reference frame or another object.
- 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_69ca827e50cc8190a92a733577184938 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78a6d88819093f83528fe88b182 |
completed | March 30, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cae9111b2481909684a2d4aa4831c2 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:33 p.m.