Triple
T11542689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quick Play |
E273710
|
entity |
| Predicate | usesMatchLength |
P99634
|
FINISHED |
| Object | standard competitive-style objectives |
—
|
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: standard competitive-style objectives | Statement: [Quick Play, usesMatchLength, standard competitive-style objectives]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesMatchLength Context triple: [Quick Play, usesMatchLength, standard competitive-style objectives]
-
A.
usesMatchesFrom
Indicates that one entity relies on or incorporates matches (e.g., pattern matches, rule matches, or result matches) produced by another entity or process.
-
B.
includesMatch
Indicates that one entity contains or encompasses a particular match or matching instance of another entity.
-
C.
includesMatchType
Indicates that one entity’s set or collection contains an element with a specified type of match (e.g., exact, partial, or pattern-based) to another entity.
-
D.
usedInMatch
Indicates that something (such as an item, tactic, or resource) was employed or utilized during a particular match or game.
-
E.
matchHalfLength
Indicates that one entity’s length is equal to half the length of another entity.
- 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.