Triple
T36268269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halfweg |
E892289
|
entity |
| Predicate | roadDistanceToAmsterdam |
P85383
|
FINISHED |
| Object | approximately 8 kilometres |
—
|
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 8 kilometres | Statement: [Halfweg, roadDistanceToAmsterdam, approximately 8 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadDistanceToAmsterdam Context triple: [Halfweg, roadDistanceToAmsterdam, approximately 8 kilometres]
-
A.
distanceToAmsterdam
chosen
Indicates the spatial distance between a given location and the city of Amsterdam.
-
B.
roadDistanceToUtrecht_km
Indicates the distance in kilometers between an entity and Utrecht when traveling by road.
-
C.
directionFromAmsterdam
Indicates the cardinal or relative compass direction of an entity’s location as measured from Amsterdam.
-
D.
distanceToRotterdam
Indicates the measured distance between a given entity’s location and the city of Rotterdam.
-
E.
distanceToUtrecht
Indicates the spatial distance between a given entity and the location of Utrecht.
- 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_69f76e4699188190af045b11a840ce31 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b6280650819097dc045343fe553f |
completed | May 3, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c44390819084fb5558b354658f |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:09 p.m.