Triple
T220394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nansen passport |
E4199
|
entity |
| Predicate | grantedRights |
P168
|
FINISHED |
| Object | permission to cross borders |
—
|
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: permission to cross borders | Statement: [Nansen passport, grantedRights, permission to cross borders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantedRights Context triple: [Nansen passport, grantedRights, permission to cross borders]
-
A.
grantedPower
Indicates that one entity has conferred authority, control, or a specific capability to another entity.
-
B.
grantedTo
chosen
Indicates that a right, permission, or resource has been formally given or assigned by one party to another.
-
C.
grantedBy
Indicates that a right, permission, or benefit is conferred or authorized by one entity to another.
-
D.
styleGranted
Indicates that a particular style, manner, or mode of expression has been conferred or authorized for use by one entity to another.
-
E.
isGrantedFor
Indicates that a permission, right, or benefit has been formally given to a specific entity for a particular purpose or use.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25efd0df48190b8fef4c422a1265f |
completed | Feb. 28, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69a25b54d790819093b35bd1a6f00f92 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.