Triple
T19715842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College Green |
E473473
|
entity |
| Predicate | usedIntensivelyDuring |
P132991
|
FINISHED |
| Object | general election campaigns |
—
|
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: general election campaigns | Statement: [College Green, usedIntensivelyDuring, general election campaigns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedIntensivelyDuring Context triple: [College Green, usedIntensivelyDuring, general election campaigns]
-
A.
intensiveUse
chosen
Indicates a relationship where an entity is used in a concentrated, frequent, or high-intensity manner by another entity.
-
B.
usedDuring
Indicates that one entity is employed, applied, or active in the course of another entity’s process, event, or time period.
-
C.
usedToIntern
Indicates that one entity previously held an internship position with another entity.
-
D.
usedOver
Indicates that one entity has been utilized, applied, or consumed in relation to another entity, typically as a resource, medium, or tool in a particular context or period.
-
E.
usedInternally
Indicates that something is utilized within an organization, system, or component itself rather than being exposed or provided for external use.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6440cb47c81908124dfbd6f781d23 |
completed | April 20, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69e530438c60819082364c7be3eef6f0 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:46 p.m.