Triple
T27750326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Backgammon |
E702097
|
entity |
| Predicate | hasStandardDoublingCubeValues |
P191085
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Backgammon, hasStandardDoublingCubeValues, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStandardDoublingCubeValues Context triple: [Backgammon, hasStandardDoublingCubeValues, 2]
-
A.
hasStandardDiceCountPerPlayer
Indicates that there is a specified, consistent number of dice allocated to each player in the context of a game or activity.
-
B.
hasStandardCheckerCountPerPlayer
Indicates the number of standard checkers that each player is assigned or expected to have.
-
C.
hasPlayConvention
Indicates that an activity, game, or performance follows a particular rule, norm, or convention for how it is to be played or carried out.
-
D.
numberOfVisibleCubiesOnStandardCube
Indicates the count of cubelets (small cube faces) that are visible on a standard cube from a given viewpoint or configuration.
-
E.
isDoublyEven
Indicates that a number is divisible by 4, i.e., it is an even number whose half is also even.
- 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_69ef6a53c7388190899baa6daf42301c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcda35dc048190a3c90e15230900e0 |
completed | May 7, 2026, 6:30 p.m. |
Created at: April 27, 2026, 4:19 p.m.