Triple
T19357554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reinbek |
E484188
|
entity |
| Predicate | distanceToHamburgCityCentre |
P48136
|
FINISHED |
| Object | about 20 km east |
—
|
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 20 km east | Statement: [Reinbek, distanceToHamburgCityCentre, about 20 km east]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToHamburgCityCentre Context triple: [Reinbek, distanceToHamburgCityCentre, about 20 km east]
-
A.
distanceToHamburg
chosen
Indicates the spatial distance between a given entity’s location and the city of Hamburg.
-
B.
distanceToFrankfurtHbf
Indicates the spatial distance between a given location and Frankfurt Hauptbahnhof (Frankfurt Hbf).
-
C.
distanceToBremen
Indicates the spatial distance between a given entity and the location of Bremen.
-
D.
distanceToBerlin
Indicates the spatial distance between a given entity’s location and the city of Berlin.
-
E.
distanceToDortmund
Indicates the spatial distance between a given entity’s location and the city of Dortmund.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619096c1081909ce2cbf7ae804e73 |
completed | April 20, 2026, 12:16 p.m. |
| PD | Predicate disambiguation | batch_69e4dd13a8cc81909cd02668564c9f29 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 1:34 p.m.