Triple
T31409516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkish passport |
E801221
|
entity |
| Predicate | colorOfOrdinaryPassport |
P90042
|
FINISHED |
| Object | burgundy |
—
|
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: burgundy | Statement: [Turkish passport, colorOfOrdinaryPassport, burgundy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorOfOrdinaryPassport Context triple: [Turkish passport, colorOfOrdinaryPassport, burgundy]
-
A.
physicalCardColor
chosen
Indicates the relationship between a physical card and the color that characterizes its appearance.
-
B.
visaClass
Indicates the specific category or type of visa associated with an individual or immigration case.
-
C.
parchmentColor
Indicates that one entity has the color characteristic of parchment in relation to another entity.
-
D.
shareVisaPolicy
Indicates that two entities apply the same or highly similar visa requirements and entry rules to travelers.
-
E.
borderPass
Indicates that one entity crosses or moves through the boundary separating two regions or jurisdictions.
- 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_69f348c0dd648190bf2fd7642f78eb06 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: April 30, 2026, 8:36 p.m.