Triple
T20193169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pokémon GO |
E493020
|
entity |
| Predicate | hasFeature |
P182
|
FINISHED |
| Object | AR+ mode |
—
|
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: AR+ mode | Statement: [Pokémon GO, hasFeature, AR+ mode]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AR+ mode Context triple: [Pokémon GO, hasFeature, AR+ mode]
-
A.
augmented reality
chosen
Augmented reality is an interactive technology that overlays digital content onto the real world in real time, enhancing a user’s perception and interaction with their physical environment.
-
B.
AR-D
AR-D is the ISO 3166-2 subdivision code assigned to Argentina’s San Luis Province.
-
C.
AR
AR is the commonly used abbreviation for the Assembly of the Republic, the unicameral national parliament of Portugal.
-
D.
AR
AR is the official two-letter United States Postal Service abbreviation for the state of Arkansas.
-
E.
AR
AR is the two-letter IATA airline designator assigned to Aerolíneas Argentinas, the flag carrier of Argentina.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad7270081908ed8513a8363e9b1 |
completed | April 20, 2026, 6:05 p.m. |
Created at: April 11, 2026, 11:37 p.m.