Triple
T14266111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gesundbrunnen |
E353647
|
entity |
| Predicate | locatedInBoroughSince |
P300
|
FINISHED |
| Object | 2001 |
—
|
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: 2001 | Statement: [Gesundbrunnen, locatedInBoroughSince, 2001]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInBoroughSince Context triple: [Gesundbrunnen, locatedInBoroughSince, 2001]
-
A.
locatedInFormerBorough
Indicates that an entity is or was situated within the geographic area of a borough that no longer exists as an administrative unit.
-
B.
locatedInBoroughCommunityDistrict
Indicates that something is situated within a specific borough community district.
-
C.
operatedInBorough
Indicates that an entity conducted its operations or activities within the geographic area of a specific borough.
-
D.
hasBorough
chosen
Indicates that one entity is located within, belongs to, or is administratively part of a specific borough.
-
E.
incorporatedAsBorough
Indicates that an entity was formally established and granted legal status as a borough.
- 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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6357a8188190ba518a486521052b |
completed | April 14, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69de2a7d586c8190846ff242bbf5ac53 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:09 a.m.