Triple
T29247975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3DO |
E741487
|
entity |
| Predicate | initialLaunchRegion |
P40433
|
FINISHED |
| Object | North America |
—
|
NE NERFINISHED |
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: [3DO, initialLaunchRegion, North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialLaunchRegion Context triple: [3DO, initialLaunchRegion, North America]
-
A.
subsequentLaunchRegion
Indicates that one region is launched or activated after another region in a defined sequence.
-
B.
firstReleaseRegion
chosen
Indicates the geographic region or market where something (such as a product, work, or release) was first made publicly available.
-
C.
startedForRegion
Indicates that an activity, process, or service has been initiated specifically for a given geographic or administrative region.
-
D.
initialLandingSite
Indicates the location where an entity first arrives, lands, or makes its initial touchdown.
-
E.
firstForRegion
Indicates that something is the earliest or primary instance of its kind within a specified region.
- 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_69f0911eba2c8190b07cd2fdf91422c9 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 28, 2026, 12:33 p.m.