Triple
T30811252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikon Z 9 |
E784650
|
entity |
| Predicate | targetGenres |
P82410
|
FINISHED |
| Object | sports photography |
—
|
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: sports photography | Statement: [Nikon Z 9, targetGenres, sports photography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetGenres Context triple: [Nikon Z 9, targetGenres, sports photography]
-
A.
targetGenre
chosen
Indicates the genre that something is specifically aimed at, categorized under, or intended to belong to.
-
B.
commonGenre
Indicates that two entities share at least one genre in common.
-
C.
possibleGenre
Indicates that something may belong to, be classified under, or be associated with a particular genre as one of several potential genre options.
-
D.
tvGenre
Indicates the genre or category to which a television show or program belongs.
-
E.
hasTargetGenreCategory
Indicates that something is associated with or classified under a specific target genre category.
- 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd5bf69acc819092a01e4259785dc3 |
completed | May 8, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69fd59b3f4ac8190a7f9dd3142da6e09 |
completed | May 8, 2026, 3:34 a.m. |
Created at: April 29, 2026, 8:43 p.m.