Triple
T23075143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asker |
E575307
|
entity |
| Predicate | directionFromOslo |
P150854
|
FINISHED |
| Object | southwest |
—
|
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: southwest | Statement: [Asker, directionFromOslo, southwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionFromOslo Context triple: [Asker, directionFromOslo, southwest]
-
A.
distanceFromOslo
Indicates the spatial distance between a given entity’s location and the city of Oslo.
-
B.
directionFromCopenhagen
Indicates the cardinal or relative compass direction in which one location lies when measured from Copenhagen.
-
C.
nearCityOnNorwegianSide
Indicates that one entity is located close to a specified city that lies on the Norwegian side of a border or region.
-
D.
distanceFromKristiansand
Indicates the spatial distance between a given location or object and the city of Kristiansand.
-
E.
distanceFromTrondheimApproximate
Indicates an approximate measure of how far something is from Trondheim, typically expressed as a rough or estimated distance rather than an exact value.
- F. None of above. chosen
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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c62c200819099c92654493288ad |
completed | April 29, 2026, 4:43 a.m. |
| PD | Predicate disambiguation | batch_69ef89e5ce748190b2c3ac3843484127 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 3:56 p.m.