Triple
T37606532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wülscheid |
E935666
|
entity |
| Predicate | districtOfCity |
P143741
|
FINISHED |
| Object | Aegidienberg |
—
|
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: Aegidienberg | Statement: [Wülscheid, districtOfCity, Aegidienberg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: districtOfCity Context triple: [Wülscheid, districtOfCity, Aegidienberg]
-
A.
districtName
Indicates that an entity has a specific name identifying it as a district.
-
B.
targetCityDistrict
Indicates that one entity is a specific city district that serves as the target or destination in relation to another entity.
-
C.
inCityDistrict
chosen
Indicates that one entity is located within the boundaries of a specific city district.
-
D.
cityOrDistrict
Indicates that the subject is classified as either a city or a district in relation to the object.
-
E.
governmentalDistrictOf
Indicates that a governmental district is the administrative district to which a given entity belongs or in which it is located.
- 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_69f76ed0a85481909254a8a89090c826 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:18 p.m.