Triple
T30524410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Rafter |
E776791
|
entity |
| Predicate | nearestTownCenterDistance |
P110200
|
FINISHED |
| Object | approximately 1.5 km from Zakopane center |
—
|
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: approximately 1.5 km from Zakopane center | Statement: [Great Rafter, nearestTownCenterDistance, approximately 1.5 km from Zakopane center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestTownCenterDistance Context triple: [Great Rafter, nearestTownCenterDistance, approximately 1.5 km from Zakopane center]
-
A.
nearestCityCenterDistance
Indicates the distance from a given location to the closest city center.
-
B.
nearestTownCenter
Indicates that one location is the closest town center to another specified point or area.
-
C.
nearestTownDistance
chosen
Indicates the distance from a given location to the closest town.
-
D.
municipalityCenterDistance
Indicates the distance between an entity and the central point of its corresponding municipality.
-
E.
nearestCityTo
Indicates that one city is the closest in distance to a given location or entity compared to all other cities.
- 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
Created at: April 29, 2026, 8:17 p.m.