Triple
T16821483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mühlendamm Bridge |
E408902
|
entity |
| Predicate | connectsUrbanDistricts |
P101470
|
FINISHED |
| Object | Fischerinsel and Molkenmarkt area |
—
|
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: Fischerinsel and Molkenmarkt area | Statement: [Mühlendamm Bridge, connectsUrbanDistricts, Fischerinsel and Molkenmarkt area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsUrbanDistricts Context triple: [Mühlendamm Bridge, connectsUrbanDistricts, Fischerinsel and Molkenmarkt area]
-
A.
connectsCity
Indicates a relationship where one entity serves as a link or route that joins or provides direct access between two cities.
-
B.
formsUrbanAreaWith
Indicates that two or more settlements are geographically and functionally connected so that together they constitute a single continuous urban area.
-
C.
connectsToUrbanCenter
Indicates that one entity has a direct or functional linkage to an urban center, such as through infrastructure, services, or regular interaction.
-
D.
connectsKeyDistrict
chosen
Indicates that one entity establishes or maintains a significant linkage or route to a strategically important or central district.
-
E.
relatedUrbanArea
Indicates that one urban area is geographically or functionally associated with another urban area, such as being nearby, connected, or part of the same broader metropolitan context.
- 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_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e6b59c8190ad562a80e71ce54c |
completed | April 18, 2026, 4:35 p.m. |
| PD | Predicate disambiguation | batch_69e32b814b188190aee525f8779203cd |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:23 a.m.