Triple
T27509740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Playfair cipher |
E694375
|
entity |
| Predicate | countryOfEarlyUse |
P14489
|
FINISHED |
| Object | United Kingdom |
—
|
NE NERFINISHED |
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: United Kingdom | Statement: [Playfair cipher, countryOfEarlyUse, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfEarlyUse Context triple: [Playfair cipher, countryOfEarlyUse, United Kingdom]
-
A.
historicalUseInCountry
Indicates that something has been used or practiced within a specific country during a past historical period.
-
B.
historicalOriginCountry
Indicates the country from which something originally came or first emerged in a historical context.
-
C.
locationOfEarlyUse
chosen
Indicates the place where something was first or among the earliest instances to be used or applied.
-
D.
historicalPeriodOfFirstUse
Indicates the historical time period during which something was first used or came into use.
-
E.
inventedIn
Indicates that an entity was created, devised, or first brought into existence during a specific time period or at a particular place.
- 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_69ef53842afc8190ba6bd4e4999bda67 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
Created at: April 27, 2026, 1:15 p.m.