Triple
T24570015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | convoy JW 55B |
E607907
|
entity |
| Predicate | countryOfEscort |
P156387
|
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: [convoy JW 55B, countryOfEscort, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfEscort Context triple: [convoy JW 55B, countryOfEscort, United Kingdom]
-
A.
viaCountry
Indicates that something passes through, transits, or is routed by way of a specified country.
-
B.
countryOf
Indicates that one entity is the country to which another entity belongs, is located in, or is associated with.
-
C.
attendeeCountry
Indicates the country associated with an attendee, typically where the attendee comes from or is based.
-
D.
countryTried
Indicates that a country has conducted a judicial trial or legal proceedings against an entity.
-
E.
repositoryCountry
Indicates the country in which a repository is located or maintained.
- 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_69e2c4cc35a48190990b7571bc086df8 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a923635c819097ecac0c82ec5f29 |
completed | April 30, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2a846c5bc81909ba50cee483bea91 |
completed | April 30, 2026, 12:54 a.m. |
Created at: April 18, 2026, 2:28 a.m.