Triple
T25996645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Middleweight Championship |
E646503
|
entity |
| Predicate | typicalBoutLength |
P195993
|
FINISHED |
| Object | 12 rounds |
—
|
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: 12 rounds | Statement: [World Middleweight Championship, typicalBoutLength, 12 rounds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBoutLength Context triple: [World Middleweight Championship, typicalBoutLength, 12 rounds]
-
A.
typicalPlayTime
Indicates the usual or average amount of time an entity is expected to be played or used in a play session.
-
B.
typicalPlayTimeMinutes
Indicates the usual or average number of minutes an activity, game, or media item is typically played or experienced.
-
C.
typicalGameTime
Indicates the usual or expected amount of time a game takes to play.
-
D.
gameLength
Indicates the duration or total length of a game, typically measured in time or turns.
-
E.
typicalRecordingDuration
Indicates the usual or standard length of time that something is recorded.
- 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_69e77e88cb8481908da31d4a00661f55 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fe00dad1708190b6522476bebb43af |
completed | May 8, 2026, 3:27 p.m. |
| PD | Predicate disambiguation | batch_69fdfc3717f48190bb50ac2919c8ef95 |
completed | May 8, 2026, 3:07 p.m. |
| PDg | Predicate description generation | batch_69fe00d8d8248190a63c12aa2c2f7c0c |
completed | May 8, 2026, 3:27 p.m. |
Created at: April 22, 2026, 8:58 a.m.