Triple
T10052404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coho salmon |
E208777
|
entity |
| Predicate | hasKype |
P91836
|
FINISHED |
| Object | males develop hooked jaw during spawning |
—
|
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: males develop hooked jaw during spawning | Statement: [Coho salmon, hasKype, males develop hooked jaw during spawning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKype Context triple: [Coho salmon, hasKype, males develop hooked jaw during spawning]
-
A.
hasKontakion
Indicates that an entity is associated with or possesses a specific kontakion, i.e., a particular liturgical hymn or chant.
-
B.
hasKPoint
Indicates that an entity possesses or is associated with a specific K-point, typically a designated point in reciprocal or parameter space.
-
C.
hasKIC
Indicates that an entity is associated with or identified by a Kepler Input Catalog (KIC) identifier.
-
D.
hasUser
Indicates that an entity is associated with or linked to a specific user.
-
E.
hasTikTokAccount
Indicates that an entity possesses or maintains a TikTok social media account.
- 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_69ca836094408190a36a1ea7e9a86fcd |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf9135bc8190a48a2e5cbafca0cd |
completed | April 2, 2026, 2:08 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8d2280819089de27e57babd1f3 |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4f8d9b888190b8067bd916dae773 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 8:56 p.m.