Triple
T19450679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Combat |
E486605
|
entity |
| Predicate | numberOfGameVariants |
P48909
|
FINISHED |
| Object | 27 |
—
|
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: 27 | Statement: [Combat, numberOfGameVariants, 27]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGameVariants Context triple: [Combat, numberOfGameVariants, 27]
-
A.
variantCount
chosen
Indicates the number of distinct variants associated with a given entity or item.
-
B.
numberOfMainlineGames
Indicates the total count of primary or core series games associated with a given subject.
-
C.
playsSevensVariant
Indicates that an entity participates in or engages in a sevens variant of a game or sport.
-
D.
replacementGamesCount
Indicates the number of substitute or replacement games associated with an event, schedule, or entity.
-
E.
numberOfKnownPlays
Indicates the total count of plays that are known to be associated with a given entity (such as an author, theater, or period).
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338db7c081908793f23592ebef6b |
completed | April 20, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:38 p.m.