Triple
T3412938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern cardinal |
E71939
|
entity |
| Predicate | vocalizationRole |
P35625
|
FINISHED |
| Object | both sexes sing |
—
|
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: both sexes sing | Statement: [Northern cardinal, vocalizationRole, both sexes sing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vocalizationRole Context triple: [Northern cardinal, vocalizationRole, both sexes sing]
-
A.
vocalization
Indicates the act or manner of producing sounds or calls, typically as a means of communication.
-
B.
vocalizationCharacteristic
Indicates how an entity’s vocal sounds are characterized, such as their quality, style, or distinctive acoustic features.
-
C.
vocalizationMethod
Indicates the manner or technique by which an entity produces a sound or vocal expression.
-
D.
vocalizationUsage
chosen
Indicates how a particular vocalization is used or applied within a communicative or behavioral context.
-
E.
languageOfVocalization
Indicates the language in which a vocalization (such as speech or singing) is produced.
- 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb90ba83c81909abdcddb334e64f6 |
completed | March 8, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69adadfcbc38819080852c18240451c5 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:15 p.m.