Triple
T6388001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Passport Control Office |
E143747
|
entity |
| Predicate | typeOfCover |
P10512
|
FINISHED |
| Object | diplomatic cover |
—
|
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: diplomatic cover | Statement: [British Passport Control Office, typeOfCover, diplomatic cover]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfCover Context triple: [British Passport Control Office, typeOfCover, diplomatic cover]
-
A.
hasCoverType
chosen
Indicates that one entity possesses or is associated with a specific type or category of cover.
-
B.
cover
Indicates that one entity extends over, conceals, protects, or provides a surface or layer for another entity.
-
C.
isCoverOf
Indicates that one entity functions as a protective or enclosing layer placed over another entity.
-
D.
coverText
Indicates that one text serves as the cover or front-facing textual representation for another work or resource.
-
E.
eraCovered
Indicates that one entity temporally encompasses, includes, or spans the historical period or era associated with another entity.
- 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_69c008dac1ec81909cef8157ccd69962 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0686b4f34819088ff07185b34e536 |
completed | March 22, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69c060eff524819094cee1c70a0c1ff4 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:34 p.m.