Triple
T31372243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | F-WB |
E800193
|
entity |
| Predicate | hasUniquenessScope |
P72877
|
FINISHED |
| Object | Frankfurt public transport stations |
—
|
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: Frankfurt public transport stations | Statement: [F-WB, hasUniquenessScope, Frankfurt public transport stations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUniquenessScope Context triple: [F-WB, hasUniquenessScope, Frankfurt public transport stations]
-
A.
hasUniqueness
Indicates that something possesses a distinctive or one-of-a-kind quality that sets it apart from others.
-
B.
isNonUniqueGlobally
Indicates that the referenced item is not guaranteed to be unique across the entire global scope or system.
-
C.
isUniqueWithinScheme
chosen
Indicates that an entity is the only one with its particular identifying characteristics within a given scheme or classification system.
-
D.
typeOfUniqueness
Indicates that one entity’s uniqueness is characterized, classified, or constrained by the specific kind or mode of uniqueness associated with another entity.
-
E.
uniquenessCondition
Indicates that a specified element, value, or combination of attributes must be unique within a given set, context, or domain, with no duplicates allowed.
- 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_69f224e6b7448190ac6bf97ad7364160 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7979a073881909a4fde2558e6b6f3 |
completed | May 3, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
Created at: April 29, 2026, 9:18 p.m.