Triple
T8348196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carduelis carduelis |
E196091
|
entity |
| Predicate | callCharacteristic |
P82216
|
FINISHED |
| Object | high-pitched tinkling calls |
—
|
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-pitched tinkling calls | Statement: [Carduelis carduelis, callCharacteristic, high-pitched tinkling calls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: callCharacteristic Context triple: [Carduelis carduelis, callCharacteristic, high-pitched tinkling calls]
-
A.
dataCharacteristic
Indicates that one entity specifies a property, attribute, or feature that characterizes a given piece of data.
-
B.
podCharacteristic
Indicates a characteristic, feature, or property that is attributed to a pod.
-
C.
methodCharacteristic
Indicates that a particular method or procedure possesses a specified property, feature, or quality.
-
D.
equipmentCharacteristic
Indicates that a specific characteristic, property, or attribute is associated with a piece of equipment.
-
E.
callType
Indicates the category or nature of a call (such as its purpose, direction, or handling), distinguishing one kind of call from another.
- 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb801588e881908ac0a291280ac0f8 |
completed | March 31, 2026, 8:04 a.m. |
| PD | Predicate disambiguation | batch_69cb70c6d0ec8190acf273b0e007b51a |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d823b08190a54fadb50660cda5 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:58 p.m.