Triple
T8539169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neo Geo CD |
E202151
|
entity |
| Predicate | notableDrawback |
P7340
|
FINISHED |
| Object | long loading times |
—
|
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: long loading times | Statement: [Neo Geo CD, notableDrawback, long loading times]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableDrawback Context triple: [Neo Geo CD, notableDrawback, long loading times]
-
A.
disadvantage
chosen
Indicates that one entity is in a less favorable, weaker, or hindered position relative to another in a given context.
-
B.
notableAdvantage
Indicates that one entity possesses a significant benefit, edge, or favorable quality over another entity or in a given context.
-
C.
shortcomings
Indicates that an entity has flaws, deficiencies, or limitations in its qualities, performance, or behavior.
-
D.
notableSafety
Indicates that an entity is recognized for having significant safety characteristics, performance, or impact relative to others.
-
E.
notableEarlyIssue
Indicates that the subject is a significant or noteworthy early edition, release, or version of the object.
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6a7441c8190980c3516073422fe |
completed | March 31, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69cbd111bf988190be98c92a607c6456 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:18 p.m.