Triple
T11134582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slagelse |
E263377
|
entity |
| Predicate | distanceToCopenhagen |
P55954
|
FINISHED |
| Object | about 90 km west of Copenhagen |
—
|
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: about 90 km west of Copenhagen | Statement: [Slagelse, distanceToCopenhagen, about 90 km west of Copenhagen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToCopenhagen Context triple: [Slagelse, distanceToCopenhagen, about 90 km west of Copenhagen]
-
A.
distanceFromCopenhagen
chosen
Indicates the spatial distance between a given entity and the location of Copenhagen.
-
B.
distanceFromLongyearbyen
Indicates the measured distance between a given location and Longyearbyen.
-
C.
distanceToFlensburg_km
Indicates the distance, measured in kilometers, between a given entity’s location and the city of Flensburg.
-
D.
distanceToBerlin
Indicates the spatial distance between a given entity’s location and the city of Berlin.
-
E.
distanceToAmsterdam
Indicates the spatial distance between a given location and the city of Amsterdam.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e85daddc8190a1ae2a4a75cc8d50 |
completed | April 9, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69d75ce104908190b6cc31ef2f67846a |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:28 p.m.