Triple
T32271899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cölbe |
E824432
|
entity |
| Predicate | isUniversitySatelliteTownOf |
P173909
|
FINISHED |
| Object | Marburg |
E174796
|
NE 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: Marburg | Statement: [Cölbe, isUniversitySatelliteTownOf, Marburg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUniversitySatelliteTownOf Context triple: [Cölbe, isUniversitySatelliteTownOf, Marburg]
-
A.
containsUniversityCity
Indicates that a given region or area includes within its boundaries a city that hosts a university.
-
B.
universityLocatedIn
Indicates that a university is situated within or associated with a specific geographic location or administrative region.
-
C.
seatOfUniversity
Indicates that a location serves as the official seat or main campus of a university.
-
D.
isUrbanUniversity
Indicates that a university is located in, or primarily associated with, an urban (city) environment.
-
E.
cityOfInstitution
Indicates the city in which an institution is located or based.
- F. None of above. chosen
Provenance (5 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_69f3490e73588190915f282edd105772 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bc89010c8190982399d265f171ac |
completed | May 3, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a344ef8ef5081909e54cce0e325ac27 |
completed | June 18, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b960ca4081909a77690c2b122f5e |
completed | May 3, 2026, 2:56 a.m. |
Created at: May 1, 2026, 12:42 a.m.