Triple
T24636827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | sperm whale |
E609834
|
entity |
| Predicate | ambergrisUse |
P156862
|
FINISHED |
| Object | perfume industry |
—
|
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 industry | Statement: [sperm whale, ambergrisUse, perfume industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ambergrisUse Context triple: [sperm whale, ambergrisUse, perfume industry]
-
A.
aromaticOilsPresent
Indicates that aromatic oils are present in or associated with the specified entity or context.
-
B.
hasFragrance
Indicates that one entity possesses or emits a particular scent or aroma associated with another entity.
-
C.
usesScentAsMedium
Indicates that something employs scent or smell as the primary medium for communication, signaling, or interaction.
-
D.
odorizedWith
Indicates that one entity has been treated or infused with another substance in order to give it a detectable odor.
-
E.
odor
Indicates that one entity emits, possesses, or is characterized by a particular smell detectable by another entity.
- 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_69e2c4d28f848190ac38c400060e943d |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be064ff88190b5d9e5ec75a41242 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:33 a.m.