Triple
T16183859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berlin LGBTQ+ community |
E392749
|
entity |
| Predicate | associatedWithArea |
P2830
|
FINISHED |
| Object |
Regenbogenkiez
Regenbogenkiez is Berlin’s well-known gay and queer neighborhood, centered around Schöneberg, famous for its vibrant LGBTQ+ nightlife, culture, and community spaces.
|
E1199448
|
NE FINISHED |
How this triple was built (4 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: Regenbogenkiez | Statement: [Berlin LGBTQ+ community, associatedWithArea, Regenbogenkiez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Regenbogenkiez Context triple: [Berlin LGBTQ+ community, associatedWithArea, Regenbogenkiez]
-
A.
Fedka
Fedka is a Russian diminutive form of the male given name Fyodor.
-
B.
The Klein
The Klein is a historic performing arts venue and community cultural center located in Bridgeport, Connecticut.
-
C.
Balgreen
Balgreen is a residential suburb in the west of Edinburgh, Scotland, known for its local parkland and proximity to the city’s tram and rail links.
-
D.
Krippen
Krippen is a district of the spa town Bad Schandau in Saxon Switzerland, eastern Germany, known for its scenic Elbe River setting and access to nearby sandstone rock formations.
-
E.
Kedzie
Kedzie is a Chicago Transit Authority rapid transit station on the Pink Line serving the city's West Side.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Regenbogenkiez Triple: [Berlin LGBTQ+ community, associatedWithArea, Regenbogenkiez]
Generated description
Regenbogenkiez is Berlin’s well-known gay and queer neighborhood, centered around Schöneberg, famous for its vibrant LGBTQ+ nightlife, culture, and community spaces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Regenbogenkiez Target entity description: Regenbogenkiez is Berlin’s well-known gay and queer neighborhood, centered around Schöneberg, famous for its vibrant LGBTQ+ nightlife, culture, and community spaces.
-
A.
Fedka
Fedka is a Russian diminutive form of the male given name Fyodor.
-
B.
The Klein
The Klein is a historic performing arts venue and community cultural center located in Bridgeport, Connecticut.
-
C.
Balgreen
Balgreen is a residential suburb in the west of Edinburgh, Scotland, known for its local parkland and proximity to the city’s tram and rail links.
-
D.
Krippen
Krippen is a district of the spa town Bad Schandau in Saxon Switzerland, eastern Germany, known for its scenic Elbe River setting and access to nearby sandstone rock formations.
-
E.
Kedzie
Kedzie is a Chicago Transit Authority rapid transit station on the Pink Line serving the city's West Side.
- F. None of above. chosen
Provenance (5 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205fc080819097858f36253fef7c |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff03400481908e66db8cf0213c15 |
completed | May 10, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_6a0000ceba648190ac5ecefd34f10d4e |
completed | May 10, 2026, 3:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00013fdb1c8190add653fc1cf30e44 |
completed | May 10, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:02 a.m.