Triple
T7575631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | cuckooshrikes |
E179355
|
entity |
| Predicate | useVocalizationsFor |
P35625
|
FINISHED |
| Object | territorial advertisement |
—
|
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: territorial advertisement | Statement: [cuckooshrikes, useVocalizationsFor, territorial advertisement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: useVocalizationsFor Context triple: [cuckooshrikes, useVocalizationsFor, territorial advertisement]
-
A.
vocalizationUsage
chosen
Indicates how a particular vocalization is used or applied within a communicative or behavioral context.
-
B.
vocalizationMethod
Indicates the manner or technique by which an entity produces a sound or vocal expression.
-
C.
vocalization
Indicates the act or manner of producing sounds or calls, typically as a means of communication.
-
D.
hasAlternativeVocalization
Indicates that an entity has another valid way it can be vocalized or pronounced, distinct from its primary or standard vocalization.
-
E.
vocalizationCharacteristic
Indicates how an entity’s vocal sounds are characterized, such as their quality, style, or distinctive acoustic features.
- 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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f94a25148190b5b76e000e0336c4 |
completed | March 27, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69c6f4de77048190b8769e717fdcf8e7 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:51 p.m.