Triple
T11542685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quick Play |
E273710
|
entity |
| Predicate | hasModeCategory |
P99632
|
FINISHED |
| Object | Unranked |
—
|
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: Unranked | Statement: [Quick Play, hasModeCategory, Unranked]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasModeCategory Context triple: [Quick Play, hasModeCategory, Unranked]
-
A.
hasModeledCategory
Indicates that an entity has been modeled or classified according to a specific category or type within a defined schema or framework.
-
B.
hasCategorySystem
Indicates that an entity is associated with or organized according to a particular categorization system.
-
C.
hasSupportCategory
Indicates that an entity is associated with a particular type or category of support it receives or provides.
-
D.
hasMoodCategory
Indicates that an entity is associated with a particular mood classification or emotional category.
-
E.
hasCategories
Indicates that an entity is associated with one or more categories that classify or group it.
- F. None of above. chosen
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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e09eec8190894069d86b79183d |
completed | April 10, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69d80879fdb48190be6dacc8aa63c809 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d8279925e4819089210611c0d8e61a |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 8, 2026, 9:37 p.m.