Triple
T37675257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arms of Russell, Dukes of Bedford |
E938074
|
entity |
| Predicate | numberOfEscallops |
P204335
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Arms of Russell, Dukes of Bedford, numberOfEscallops, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfEscallops Context triple: [Arms of Russell, Dukes of Bedford, numberOfEscallops, 3]
-
A.
numberOfSeals
Indicates the quantitative count of seals associated with a given entity or context.
-
B.
numberOfEntremeses
Indicates the quantity or count of entremeses (short theatrical pieces) associated with a given entity or event.
-
C.
numberOfWings
Indicates the quantity of wings that an entity possesses.
-
D.
escallopTincture
Indicates that one entity bears or is marked with an escallop (scallop shell) in a specified heraldic tincture (color or metal).
-
E.
estimatedOarCount
Indicates the estimated number of oars associated with an entity, typically approximating how many oars it has or uses.
- 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_69f76ed7b1408190ba8c93c53cb8becf |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:18 p.m.