Triple
T36959665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NFL Blitz |
E914274
|
entity |
| Predicate | rulesDifferenceFromNFL |
P39866
|
FINISHED |
| Object | no penalties for late hits in early entries |
—
|
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: no penalties for late hits in early entries | Statement: [NFL Blitz, rulesDifferenceFromNFL, no penalties for late hits in early entries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rulesDifferenceFromNFL Context triple: [NFL Blitz, rulesDifferenceFromNFL, no penalties for late hits in early entries]
-
A.
hasRuleDifferenceFromNFL
chosen
Indicates that the subject’s rules differ in some way from those used in the NFL.
-
B.
nflRecord
Indicates the win-loss-tie performance record a team or individual has accumulated in NFL competition.
-
C.
tacklesNFL
Indicates that one player forcefully brings another player to the ground or stops their forward progress in the context of an NFL play.
-
D.
isGridironFootballLeague
Indicates that the subject is a league or organized competition specifically for gridiron football.
-
E.
convertedToFootballOnly
Indicates that something previously involved in multiple activities or sports has been changed so that it is now used exclusively for football.
- 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_69f76e8c498c8190b2842db80aea8b3b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:13 p.m.