Triple
T32567854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oberhöchstadt |
E832419
|
entity |
| Predicate | isResidentialAreaForCommutersTo |
P174603
|
FINISHED |
| Object | Frankfurt am Main |
—
|
NE NERFINISHED |
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: Frankfurt am Main | Statement: [Oberhöchstadt, isResidentialAreaForCommutersTo, Frankfurt am Main]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isResidentialAreaForCommutersTo Context triple: [Oberhöchstadt, isResidentialAreaForCommutersTo, Frankfurt am Main]
-
A.
hasResidentialArea
Indicates that an entity includes, contains, or is associated with an area designated for people to live or reside.
-
B.
isInResidentialArea
Indicates that something is located within a residential area, such as a neighborhood or zone primarily designated for housing.
-
C.
isResidentialCommunityOn
Indicates that a residential community is located on or situated along a specified geographic feature, area, or infrastructure.
-
D.
isSuburbanResidentialArea
Indicates that a location is primarily a residential neighborhood situated in a suburban (non-urban, non-rural) setting.
-
E.
servesResidentialArea
Indicates that something provides services or functions to a particular residential area or neighborhood.
- 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_69f34927bb308190ad94da1b11cad13c |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c63850c88190b1b5f54819caa69a |
completed | May 3, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
| PDg | Predicate description generation | batch_69f6c1b666188190ac43c3011a7df048 |
completed | May 3, 2026, 3:32 a.m. |
Created at: May 1, 2026, 1:03 a.m.