Triple
T3898002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verkehrs-Aktiengesellschaft Nürnberg |
E90417
|
entity |
| Predicate | sharesBorderingNetworkWith |
P52741
|
FINISHED |
| Object | Deutsche Bahn regional services in Nuremberg |
—
|
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: Deutsche Bahn regional services in Nuremberg | Statement: [Verkehrs-Aktiengesellschaft Nürnberg, sharesBorderingNetworkWith, Deutsche Bahn regional services in Nuremberg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesBorderingNetworkWith Context triple: [Verkehrs-Aktiengesellschaft Nürnberg, sharesBorderingNetworkWith, Deutsche Bahn regional services in Nuremberg]
-
A.
sharesAreaWith
Indicates that two entities occupy or overlap the same geographic or spatial area.
-
B.
sharesDomainWith
Indicates that two entities operate within, belong to, or are associated with the same domain or domain-like scope.
-
C.
sharesFieldWith
Indicates that two entities are involved in or associated with the same field, discipline, or area of specialization.
-
D.
sharesUniverseWith
Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
-
E.
sharesCorridorWith
Indicates that two entities are located along or connected by the same corridor or passageway.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75b5b808190a348a31b1325d3d0 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef1aada308190821a3dfa6af170b3 |
completed | March 9, 2026, 4:13 p.m. |
Created at: March 9, 2026, 3:21 p.m.