Triple
T34668112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dactyloscopidae |
E890306
|
entity |
| Predicate | mouthOrientation |
P77777
|
FINISHED |
| Object | upward-directed |
—
|
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: upward-directed | Statement: [Dactyloscopidae, mouthOrientation, upward-directed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mouthOrientation Context triple: [Dactyloscopidae, mouthOrientation, upward-directed]
-
A.
mouthDirection
chosen
Indicates the orientation or facing direction of a mouth relative to a reference frame or another object.
-
B.
mouthNear
Indicates that one entity’s mouth is positioned close to another entity or object in space.
-
C.
mouthFormation
Indicates the specific shape or configuration the mouth takes while producing a sound or expression.
-
D.
mouthDirectionFromSection
Indicates the orientation or facing direction of a mouth relative to a specified section or segment.
-
E.
mouthCharacteristic
Indicates that an entity has a specific property, feature, or quality related to its mouth.
- 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_69f349d9c59481908b36baa0be093aea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f722f904b0819091ffa4ea4621e8b4 |
completed | May 3, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69f72157af108190880317a62e634bb0 |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:05 a.m.