Triple
T35673706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falmouth Road Race |
E1030794
|
entity |
| Predicate | approximateFieldSize |
P21034
|
FINISHED |
| Object | thousands of runners |
—
|
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: thousands of runners | Statement: [Falmouth Road Race, approximateFieldSize, thousands of runners]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateFieldSize Context triple: [Falmouth Road Race, approximateFieldSize, thousands of runners]
-
A.
approximateSize
Indicates that one entity has a size that is roughly or approximately equal to the size of another entity.
-
B.
approximateCapacity
chosen
Indicates that one entity has an estimated or rough capacity value relative to another or to a specified measure.
-
C.
objectApproximateLength
Indicates that one entity specifies or estimates the approximate length measurement of another entity.
-
D.
fieldSize
Indicates the magnitude or dimensions of a field associated with an entity or context.
-
E.
approximateBlockLength
Indicates that one entity specifies or estimates the length of a block in an approximate or non-exact manner.
- 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_69f76e0acfc0819082c8495c2210ce73 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff6ef0d61c81909162d37c15a1a3c3 |
completed | May 9, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69ff6c6a58e08190921317062cd9d489 |
completed | May 9, 2026, 5:18 p.m. |
Created at: May 3, 2026, 4:05 p.m.