Triple
T32367721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Göttingen–Bodenfelde–Seesen line |
E827039
|
entity |
| Predicate | intermediateTownServed |
P135857
|
FINISHED |
| Object | Bodenfelde |
—
|
NE NERFINISHED |
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: Bodenfelde | Statement: [Göttingen–Bodenfelde–Seesen line, intermediateTownServed, Bodenfelde]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intermediateTownServed Context triple: [Göttingen–Bodenfelde–Seesen line, intermediateTownServed, Bodenfelde]
-
A.
intermediateTown
chosen
Indicates that a town lies along the route between two other locations, serving as an intermediate point on a journey or path.
-
B.
townServed
Indicates that a given service, facility, or infrastructure serves or provides coverage to a particular town.
-
C.
majorIntermediateCityServed
Indicates that a major intermediate city lies along a route or corridor and is served by the associated service or infrastructure.
-
D.
servesTownship
Indicates that an entity provides official services or administrative functions to a particular township.
-
E.
isInteriorTownOf
Indicates that one town is located within the interior region of, and is administratively or geographically associated with, a larger area or jurisdiction.
- 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_69f349166d548190887b412fe908e2f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
Created at: May 1, 2026, 12:50 a.m.