Triple
T28612186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klondike |
E724191
|
entity |
| Predicate | tableauBuildingRule |
P165471
|
FINISHED |
| Object | build down in rank and alternating colors |
—
|
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: build down in rank and alternating colors | Statement: [Klondike, tableauBuildingRule, build down in rank and alternating colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tableauBuildingRule Context triple: [Klondike, tableauBuildingRule, build down in rank and alternating colors]
-
A.
compositionRule
Indicates how multiple elements or components are combined or arranged according to a specific rule or pattern.
-
B.
tableauInitialLayout
Indicates the initial spatial arrangement or configuration of elements in a tableau at the start of a process or interaction.
-
C.
labelingRule
Indicates that a specified rule or criterion is used to assign a particular label or category to an entity.
-
D.
groupingRule
Indicates a rule or criterion that defines how multiple entities are grouped or clustered together based on shared characteristics or conditions.
-
E.
decisionMakingRule
Indicates the principle, guideline, or procedure that governs how a decision is made in a given context.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f659355a208190be2609ffc7a9c427 |
completed | May 2, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f65875030881909007c502b7dcc998 |
completed | May 2, 2026, 8:03 p.m. |
Created at: April 28, 2026, 4:30 a.m.