Triple
T5245743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scots Guards |
E118453
|
entity |
| Predicate | buttonGrouping |
P62370
|
FINISHED |
| Object | groups of three |
—
|
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: groups of three | Statement: [Scots Guards, buttonGrouping, groups of three]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buttonGrouping Context triple: [Scots Guards, buttonGrouping, groups of three]
-
A.
labelGroup
Indicates that an entity is assigned to or associated with a particular group label used for categorization or organization.
-
B.
buttonType
Indicates the specific category or style of a button within a user interface or control set.
-
C.
positionGroup
Indicates a grouping relationship where multiple positions or roles are collectively associated or organized under a common group.
-
D.
letterGroups
Indicates that entities are organized or associated into specific groups based on letters or letter-based criteria.
-
E.
boardingGroups
Indicates that certain entities are assigned to or associated with specific boarding groups for an ordered boarding process.
- 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b515edc8190a9db198d4eb1c4f6 |
completed | March 20, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69bd77c1397c8190a7fd844d7a396e54 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd79e9d794819097bb628c603d14af |
completed | March 20, 2026, 4:46 p.m. |
Created at: March 20, 2026, 1:49 p.m.