Triple
T37012199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banjo-Tooie |
E915979
|
entity |
| Predicate | originalPlatformReleaseRegion |
P163863
|
FINISHED |
| Object | North America |
E335
|
NE 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: North America | Statement: [Banjo-Tooie, originalPlatformReleaseRegion, North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalPlatformReleaseRegion Context triple: [Banjo-Tooie, originalPlatformReleaseRegion, North America]
-
A.
releasePlatformRegion
chosen
Indicates the specific geographic region or market where a release (such as a product, service, or media title) is made available on a given platform.
-
B.
originalPlatformRegion
Indicates the geographic region or market in which a platform was originally launched or made available.
-
C.
hasRegionalPlatforms
Indicates that an entity operates or is associated with specific platforms that are organized or deployed at a regional level.
-
D.
introducedInGameRegion
Indicates that something first appeared or was made available within a specific region of a game.
-
E.
internationalReleasePlatform
Indicates that a work is made available to audiences in multiple countries through a particular distribution or publication platform.
- F. None of above.
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_69f76e90ed548190b187d2475f5c807d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3e57664220819098e150088045952d |
completed | June 26, 2026, 10:41 a.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:14 p.m.