Triple
T5341619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexican long-tongued bat |
E123955
|
entity |
| Predicate | noseleaf |
P63118
|
FINISHED |
| Object | small noseleaf present |
—
|
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: small noseleaf present | Statement: [Mexican long-tongued bat, noseleaf, small noseleaf present]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: noseleaf Context triple: [Mexican long-tongued bat, noseleaf, small noseleaf present]
-
A.
noseType
Indicates the specific shape or classification of a nose that an entity possesses.
-
B.
leaves
Indicates that an entity departs from or goes away from another entity, location, or situation.
-
C.
noseGearFeature
Indicates that there is a specific characteristic, component, or design attribute associated with the nose landing gear of an aircraft.
-
D.
leafType
Indicates the specific kind or classification of leaf associated with an entity.
-
E.
snoutType
Indicates the type or form of an entity’s snout in relation to its overall morphology.
- F. None of above. chosen
Provenance (4 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85e86edc81908d87933db6489f91 |
completed | March 20, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69bd845a62b081909782863865b257a9 |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd85e69e808190b29548670fd2900a |
completed | March 20, 2026, 5:37 p.m. |
Created at: March 20, 2026, 2 p.m.