Triple
T36959692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NFL Blitz |
E914274
|
entity |
| Predicate | typicalMatchLength |
P205665
|
FINISHED |
| Object | short matches compared to simulation football games |
—
|
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: short matches compared to simulation football games | Statement: [NFL Blitz, typicalMatchLength, short matches compared to simulation football games]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMatchLength Context triple: [NFL Blitz, typicalMatchLength, short matches compared to simulation football games]
-
A.
usesMatchLength
Indicates that one entity applies or enforces the same length or duration as that of a corresponding match or matching element.
-
B.
typicalMatchType
Indicates the usual or most common type of match or pairing that characterizes how two entities are related or aligned.
-
C.
typicalMatchWindows
Indicates that two entities share the same or compatible default time windows or periods during which an activity, process, or condition is normally expected to occur.
-
D.
typicalMatchRules
Indicates that two entities are considered a standard or default match according to predefined matching rules or criteria.
-
E.
patternLength
Indicates the length or size of a recurring pattern associated with an entity or process.
- 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_69f76e8c498c8190b2842db80aea8b3b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:13 p.m.