Triple
T37693730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BOTC |
E938871
|
entity |
| Predicate | hasTravelDocumentType |
P9497
|
FINISHED |
| Object | British Overseas Territories Citizen passport |
—
|
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: British Overseas Territories Citizen passport | Statement: [BOTC, hasTravelDocumentType, British Overseas Territories Citizen passport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTravelDocumentType Context triple: [BOTC, hasTravelDocumentType, British Overseas Territories Citizen passport]
-
A.
travelDocumentRequirement
Indicates that a specific type of travel document is required for an entity (e.g., a person or trip) to undertake or complete a particular journey or border crossing.
-
B.
hasIdentityDocument
Indicates that an entity possesses or is associated with a specific identity document.
-
C.
hasTravelType
Indicates the mode or category of travel associated with a given trip, journey, or movement event.
-
D.
typeOfDocumentIssued
chosen
Indicates the specific kind or category of document that has been formally issued in a given context.
-
E.
travelDocumentStatus
Indicates the current state or validity of a person’s travel document in relation to a specific trip or border-crossing process.
- 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_6a004a8892c08190bcacb952ad737716 |
completed | May 10, 2026, 9:06 a.m. |
| PD | Predicate disambiguation | batch_6a004a44b4948190be4b3dbfce8da020 |
completed | May 10, 2026, 9:05 a.m. |
Created at: May 3, 2026, 4:18 p.m.