Triple
T27293615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 143rd Battalion (British Columbia Bantams), CEF |
E688696
|
entity |
| Predicate | sizeCriterion |
P142698
|
FINISHED |
| Object | shorter-statured men |
—
|
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: shorter-statured men | Statement: [143rd Battalion (British Columbia Bantams), CEF, sizeCriterion, shorter-statured men]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sizeCriterion Context triple: [143rd Battalion (British Columbia Bantams), CEF, sizeCriterion, shorter-statured men]
-
A.
sizeStatus
Indicates the relative size condition or classification of one entity in relation to another or to a defined standard.
-
B.
sizeDefinedBy
Indicates that the size or magnitude of one entity is determined, constrained, or specified by another entity.
-
C.
sizeCategory
Indicates the relative size classification assigned to an entity compared to others (e.g., small, medium, large).
-
D.
sizeRestriction
chosen
Indicates that there is a limitation or constraint on the allowable size or dimensions of something in the relationship.
-
E.
sizeDescription
Indicates a relationship where one entity provides descriptive information about the size or scale of another entity.
- 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_69ef355a96308190a2bed991525fb278 |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f6277e806c819085dbcbddb9d86af1 |
completed | May 2, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 11:17 a.m.