Triple
T9083690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nollendorfplatz U-Bahn station |
E217695
|
entity |
| Predicate | hasNearbyDistrictCharacteristic |
P85695
|
FINISHED |
| Object | Berlin LGBTQ+ scene |
—
|
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: Berlin LGBTQ+ scene | Statement: [Nollendorfplatz U-Bahn station, hasNearbyDistrictCharacteristic, Berlin LGBTQ+ scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyDistrictCharacteristic Context triple: [Nollendorfplatz U-Bahn station, hasNearbyDistrictCharacteristic, Berlin LGBTQ+ scene]
-
A.
nearbyRegionCharacterizedBy
chosen
Indicates that a region located nearby another entity is defined or distinguished by a particular characteristic, feature, or condition.
-
B.
hasNearbyCulturalDistrict
Indicates that an entity is located close to a designated cultural district or area with concentrated cultural activities.
-
C.
hasNearbyCityArea
Indicates that one area is geographically close to or adjacent to a city area.
-
D.
hasNearbyCommunity
Indicates that one entity has another community located close to it in geographic or spatial terms.
-
E.
neighborhoodCharacteristic
Indicates that a particular characteristic, feature, or quality is associated with or describes a given neighborhood.
- 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_69ca83d7a0388190ba1af89ed7ba36f9 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc960b45fc8190adf4bdc41b103e86 |
completed | April 1, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69cc65fa79bc81908b46f05c8bba920f |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:13 p.m.