Triple
T24959299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nietap |
E624559
|
entity |
| Predicate | roadDistanceToRoden_km |
P121160
|
FINISHED |
| Object | approximately 2–3 |
—
|
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 2–3 | Statement: [Nietap, roadDistanceToRoden_km, approximately 2–3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadDistanceToRoden_km Context triple: [Nietap, roadDistanceToRoden_km, approximately 2–3]
-
A.
trekDistanceFromRoadHead
Indicates the distance one must trek from the road head (road access point) to reach a specified location.
-
B.
distanceToNomeByRoad
Indicates the road travel distance between a given place and the city of Nome.
-
C.
distanceToRosenheim
Indicates the spatial distance between a given entity and the location Rosenheim.
-
D.
roadDistanceRelation
chosen
Indicates a relationship specifying the distance between two locations as measured along a road or road network.
-
E.
distanceFromRoads
Indicates the measured or estimated spatial distance between a location and the nearest road.
- 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_69e2ff23a3a88190b1b9743fe5e15f94 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f4242b03a081909c676b1884191f17 |
completed | May 1, 2026, 3:55 a.m. |
| PD | Predicate disambiguation | batch_69f4210130d08190ae30b7943f7a0bbc |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:58 a.m.