Triple
T24054071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kogiidae |
E595744
|
entity |
| Predicate | resemblesCommonName |
P133329
|
FINISHED |
| Object | sperm whale |
—
|
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: sperm whale | Statement: [Kogiidae, resemblesCommonName, sperm whale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resemblesCommonName Context triple: [Kogiidae, resemblesCommonName, sperm whale]
-
A.
describedTaxonCommonName
Indicates that a taxon is being described or referenced using its common (vernacular) name rather than its scientific name.
-
B.
resembles
Indicates that one entity is similar in appearance, form, or characteristics to another.
-
C.
speciesResemblance
chosen
Indicates that one species shares notable similarities in appearance or characteristics with another species.
-
D.
namedForSimilarityTo
Indicates that one entity is given its name because of a perceived resemblance or likeness to another entity.
-
E.
otherCommonName
Indicates that an entity is known by an additional, alternative common name besides its primary one.
- 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_69e288c184b081909f1f1751fb8e299a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d9d4325c819080b878fe77280947 |
completed | April 29, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:21 p.m.