Triple
T3043926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christ's College Boat Club |
E83396
|
entity |
| Predicate | bladeDetail |
P44775
|
FINISHED |
| Object | white stripe |
—
|
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 stripe | Statement: [Christ's College Boat Club, bladeDetail, white stripe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bladeDetail Context triple: [Christ's College Boat Club, bladeDetail, white stripe]
-
A.
bladeEdge
Indicates that one entity is the cutting edge or sharpened boundary of a blade-related object in relation to another entity.
-
B.
axeBladeColor
Indicates the color attribute associated specifically with the blade portion of an axe.
-
C.
isToolOf
Indicates that one entity functions as an instrument or means used by another entity to perform tasks or achieve goals.
-
D.
weapon
Indicates that one entity is used as a weapon by, or serves as the weapon of, another entity.
-
E.
bayonetMount
Indicates that one object is equipped with or designed to accept a bayonet-style mounting connection to another object.
- 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_69ad8b24924c8190a9bb6f61d519e4ae |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b5ec5988190b8b6c95c743c6d1e |
completed | March 8, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69ad961fc62c819087c4c3a44b00847d |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f6af3881909f4547967384114c |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3:01 p.m.