Triple
T9287401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mysticeti |
E223427
|
entity |
| Predicate | differenceFromOdontoceti |
P41824
|
FINISHED |
| Object | lacks echolocation in most species |
—
|
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: lacks echolocation in most species | Statement: [Mysticeti, differenceFromOdontoceti, lacks echolocation in most species]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: differenceFromOdontoceti Context triple: [Mysticeti, differenceFromOdontoceti, lacks echolocation in most species]
-
A.
differsFromMetatheriansBy
Indicates that one entity is characterized by traits or features that are different from those of metatherians.
-
B.
OdontocetiCommonName
Indicates that a given common name refers to, or is used for, a member of the toothed whale group (suborder Odontoceti).
-
C.
distinguishedFromRodentsBy
Indicates that one entity is set apart from or contrasted with rodents based on specific distinguishing characteristics or criteria.
-
D.
distinguishingDentalFeature
Indicates that one entity has a dental characteristic that serves to differentiate it from another entity or group.
-
E.
hasBaleen
chosen
Indicates that one entity possesses baleen structures used for filter-feeding.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0861425c81909e3ab11e19cc2f65 |
completed | April 1, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69cc7a576ec88190bbb787eb82e2e539 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:35 p.m.