Triple
T35850850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | District Council of Mount Barker |
E1036348
|
entity |
| Predicate | notableAttractionInArea |
P6629
|
FINISHED |
| Object | Hahndorf historic German village |
E319379
|
NE 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: Hahndorf historic German village | Statement: [District Council of Mount Barker, notableAttractionInArea, Hahndorf historic German village]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAttractionInArea Context triple: [District Council of Mount Barker, notableAttractionInArea, Hahndorf historic German village]
-
A.
notableSpot
Indicates that a location is recognized as a significant or noteworthy place in some context.
-
B.
notablePlace
Indicates that a place is especially significant, famous, or noteworthy in relation to the subject.
-
C.
isMajorAttractionFor
Indicates that something serves as a primary or highly significant draw or point of interest for a particular audience, group, or location.
-
D.
isMajorAttractionIn
chosen
Indicates that something is a primary or highly significant attraction within a particular place or location.
-
E.
hasTouristAttractionRole
Indicates that an entity serves in the capacity or function of a tourist attraction for another entity (such as a place, organization, or area).
- F. None of above.
Provenance (4 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_69f76e1b4aa481909630373171eb5ec6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a389c2d68bc819099349ace31c4da4b |
completed | June 22, 2026, 2:21 a.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:06 p.m.