Triple
T4818108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sluis |
E107638
|
entity |
| Predicate | hasBorderTownCharacter |
P54112
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Sluis, hasBorderTownCharacter, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBorderTownCharacter Context triple: [Sluis, hasBorderTownCharacter, true]
-
A.
hasBorderTownRole
Indicates that an entity serves in an official capacity or role specifically related to a town located on or near a border.
-
B.
hasBorderCity
Indicates that one location is a city situated on or very near the border of another geographic or political region.
-
C.
hasSmallTownCharacter
chosen
Indicates that something possesses the qualities or atmosphere typically associated with a small town, such as intimacy, familiarity, and a close-knit community feel.
-
D.
isBorderMunicipality
Indicates that a municipality is located on or directly adjacent to the border of a larger administrative region, country, or jurisdiction.
-
E.
borderCharacteristic
Indicates that one entity specifies a property, feature, or quality of the border or boundary of another entity.
- 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_69bd43f9efa081908314cb3e94fa1695 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1dfa3481909d240d50ed0ee38c |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:24 p.m.