Triple
T23139672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African civet |
E577424
|
entity |
| Predicate | civetoneUse |
P151062
|
FINISHED |
| Object | perfume fixative |
—
|
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: perfume fixative | Statement: [African civet, civetoneUse, perfume fixative]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: civetoneUse Context triple: [African civet, civetoneUse, perfume fixative]
-
A.
usesSampleOfSpeechBy
Indicates that one entity employs or incorporates a sample of speech produced by another entity.
-
B.
cavityUse
Indicates the use or functional purpose assigned to a particular cavity or hollow space in or on an entity.
-
C.
usesTuneOf
Indicates that one work is created to be performed with, or is based on, the melody or musical setting originally belonging to another work.
-
D.
toolUsed
Indicates that an action or task is performed using a particular tool as the means or instrument.
-
E.
vocalizationUsage
Indicates how a particular vocalization is used or applied within a communicative or behavioral context.
- 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e8e23988190814524f63a7efe36 |
completed | April 29, 2026, 4:52 a.m. |
| PD | Predicate disambiguation | batch_69ef89f83b108190aaaa1db6221fc163 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 4 p.m.