Triple
T37693414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British National (Overseas) |
E938865
|
entity |
| Predicate | passportType |
P9497
|
FINISHED |
| Object | British National (Overseas) passport |
—
|
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: British National (Overseas) passport | Statement: [British National (Overseas), passportType, British National (Overseas) passport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: passportType Context triple: [British National (Overseas), passportType, British National (Overseas) passport]
-
A.
typeOfDocumentIssued
chosen
Indicates the specific kind or category of document that has been formally issued in a given context.
-
B.
citizenshipDocument
Indicates that there exists an official document that certifies or proves an entity’s citizenship status with respect to a state or country.
-
C.
visaClass
Indicates the specific category or type of visa associated with an individual or immigration case.
-
D.
identificationType
Indicates the specific kind or category of identification associated with an entity or relationship.
-
E.
passportHolderInPlot
Indicates that an entity holds or possesses a passport within the context of a specific plot or storyline.
- 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_69f76eda6ae48190b3111071eeacc038 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:18 p.m.