Triple
T35299689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunny cipher |
E1019469
|
entity |
| Predicate | brokenCountry |
P183185
|
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: [Tunny cipher, brokenCountry, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brokenCountry Context triple: [Tunny cipher, brokenCountry, United Kingdom]
-
A.
crashCountry
Indicates that an aviation crash event occurred within the territory or jurisdiction of a specified country.
-
B.
deltaCountry
Indicates a change or difference in country between two related entities or states.
-
C.
endingCountry
Indicates the country in which an event, journey, process, or relationship comes to an end.
-
D.
leftCountry
Indicates that an entity has departed from or is no longer residing in a specified country.
-
E.
affectedCountry
Indicates that a particular country is impacted or influenced by an event, action, or condition.
- 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_69f76de7eedc8190a3bdc64ebbc05b42 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f798387ea481909f51303f53a22e52 |
completed | May 3, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79798663481908d6bc48dd6a94ca6 |
completed | May 3, 2026, 6:44 p.m. |
Created at: May 3, 2026, 4:03 p.m.