Triple
T8238183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Electrical and Mechanical Engineers |
E192463
|
entity |
| Predicate | wearsBeretColor |
P16832
|
FINISHED |
| Object | blue beret |
—
|
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: blue beret | Statement: [Royal Electrical and Mechanical Engineers, wearsBeretColor, blue beret]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wearsBeretColor Context triple: [Royal Electrical and Mechanical Engineers, wearsBeretColor, blue beret]
-
A.
beretColour
chosen
Indicates that one entity has a beret whose color is specified by the other entity.
-
B.
helmetColor
Indicates the specific color attribute assigned to a helmet in the relationship.
-
C.
corpsColour
Indicates the specific color associated with a military corps or unit.
-
D.
wearsUniformColor
Indicates that an entity regularly uses or is associated with a specific uniform color as part of its standard attire or dress code.
-
E.
berryColor
Indicates the color attribute associated with a berry.
- 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb783a8cf48190bf85394fd3bd79e2 |
completed | March 31, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69cb36b1dea0819091418072501e79c1 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:47 p.m.