Triple
T828441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cadet Lance Corporal |
E17908
|
entity |
| Predicate | insigniaColor |
P60
|
FINISHED |
| Object | white or green chevron depending on dress |
—
|
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: white or green chevron depending on dress | Statement: [Cadet Lance Corporal, insigniaColor, white or green chevron depending on dress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: insigniaColor Context triple: [Cadet Lance Corporal, insigniaColor, white or green chevron depending on dress]
-
A.
insigniaUsedFor
Indicates that a particular insignia is employed or designated for a specific purpose, function, or use.
-
B.
laterCaseColor
Indicates that the color of an entity’s case at a later time or stage in a sequence is being specified or related to another case color.
-
C.
shieldColor
Indicates the color attribute assigned to a shield in the relationship.
-
D.
crestColor
Indicates the color characteristic of an entity’s crest.
-
E.
colors
chosen
Indicates that one entity assigns, describes, or provides the color or colors 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ab99b1e48190afad1f073348b29a |
completed | March 1, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69a4aa79a6488190a634388e071ed9b7 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.