Triple
T7191074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arms of Downing College, Cambridge |
E167691
|
entity |
| Predicate | emblazons |
P32838
|
FINISHED |
| Object | shield of Downing College, Cambridge |
—
|
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: shield of Downing College, Cambridge | Statement: [Arms of Downing College, Cambridge, emblazons, shield of Downing College, Cambridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emblazons Context triple: [Arms of Downing College, Cambridge, emblazons, shield of Downing College, Cambridge]
-
A.
coatOfArms
Indicates that one entity serves as the heraldic emblem or coat of arms representing another entity.
-
B.
heraldicCharge
chosen
Indicates that one entity serves as a heraldic charge, i.e., a symbolic figure or emblem placed on another entity’s coat of arms or shield.
-
C.
coatOfArmsCaption
Indicates the descriptive text that explains or labels the depicted coat of arms.
-
D.
coatOfArmsMotto
Indicates the phrase or motto that appears on or is officially associated with a particular coat of arms.
-
E.
coatOfArmsType
Indicates the specific kind or category of coat of arms associated with an 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e90087208190a65e49ae0e8a7cbf |
completed | March 27, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69c6e752385c819096fbab55566ee2a8 |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:50 p.m.