Triple
T743605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | May 1926 General Strike in the United Kingdom |
E15293
|
entity |
| Predicate | numberOfWorkersInvolved |
P2307
|
FINISHED |
| Object | over 1.5 million |
—
|
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: over 1.5 million | Statement: [May 1926 General Strike in the United Kingdom, numberOfWorkersInvolved, over 1.5 million]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWorkersInvolved Context triple: [May 1926 General Strike in the United Kingdom, numberOfWorkersInvolved, over 1.5 million]
-
A.
involvesWorkers
Indicates that an event, process, or situation includes workers as active participants or affected parties.
-
B.
collaborationSize
Indicates the number of participants involved together in a given collaborative relationship or activity.
-
C.
employsApproximateNumberOfPeople
Indicates that an entity employs a roughly estimated or approximate number of people, rather than an exact headcount.
-
D.
representsWorkersOf
Indicates a relationship where one entity denotes or stands for the workers associated with another entity.
-
E.
numberOfPersons
chosen
Indicates the total count of individual persons associated with or involved in a given entity, event, or context.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a60f92d08190a4f44c5b4d068ab5 |
completed | March 1, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fdaaf48190985f62acfc069508 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.