Triple
T24340281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhein-Erft-Kreis |
E613491
|
entity |
| Predicate | hasKreisschlüssel |
P78224
|
FINISHED |
| Object | 05362 |
—
|
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: 05362 | Statement: [Rhein-Erft-Kreis, hasKreisschlüssel, 05362]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKreisschlüssel Context triple: [Rhein-Erft-Kreis, hasKreisschlüssel, 05362]
-
A.
hasLandkreis
Indicates that an entity is associated with, or belongs to, a specific administrative district (Landkreis).
-
B.
hasDistrictKey
chosen
Indicates that an entity is associated with a specific district through a unique identifying key.
-
C.
hasWKN
Indicates that an entity is associated with a specific Wertpapierkennnummer (WKN), i.e., a unique German securities identification code.
-
D.
hasKeyBusinessArea
Indicates that an entity is associated with or operates within a particular primary business area or domain.
-
E.
hasKeyReformArea
Indicates that an entity is associated with or involves a primary or central area of reform.
- 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_69e2d7dcc5a08190b53691130d56cbc4 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2932461ec8190933bf1e56e0f647e |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:57 a.m.