Triple
T24866542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl-Friedrich-Gymnasium Mannheim |
E622300
|
entity |
| Predicate | catchmentAreaIncludes |
P4498
|
FINISHED |
| Object | Neckarau |
—
|
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: Neckarau | Statement: [Karl-Friedrich-Gymnasium Mannheim, catchmentAreaIncludes, Neckarau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: catchmentAreaIncludes Context triple: [Karl-Friedrich-Gymnasium Mannheim, catchmentAreaIncludes, Neckarau]
-
A.
catchmentArea
Indicates the geographic area from which something (such as a facility, service, or natural feature) draws or collects people, resources, or water.
-
B.
hasCatchmentArea
chosen
Indicates that a geographic or administrative unit serves as the area from which an entity (such as a facility or service) draws its users, resources, or influence.
-
C.
hasCatchmentAreaSize
Indicates the size or extent of the geographic area from which something (e.g., a facility or service) draws its users, resources, or influence.
-
D.
includesAreaOf
Indicates that one entity encompasses or contains the spatial extent or area covered by another entity.
-
E.
includesCatchmentOf
Indicates that one area or region fully contains the catchment area or drainage basin of another.
- 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_69e2fac350d08190b3affde1b451a8c5 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:22 a.m.