Triple
T38041963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gölshausen |
E949507
|
entity |
| Predicate | locatedInEUCountry |
P150781
|
FINISHED |
| Object | Germany |
E1728
|
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: Germany | Statement: [Gölshausen, locatedInEUCountry, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInEUCountry Context triple: [Gölshausen, locatedInEUCountry, Germany]
-
A.
locatedInEurope
Indicates that the referenced entity is geographically situated within the continent of Europe.
-
B.
isInEuropeanUnionCountry
chosen
Indicates that the subject entity is located within, or belongs to, a country that is a member of the European Union.
-
C.
locatedInEurozone
Indicates that the subject entity is situated within the geographic or economic area of the Eurozone.
-
D.
locatedInCurrentCountry
Indicates that an entity is situated within the geographic boundaries of the country in which it is presently found.
-
E.
locatedInCentralEurope
Indicates that something is geographically situated within the region of Central Europe.
- F. None of above.
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_69f76eff0bb0819084bc4e63997bd039 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41710b9c5c8190ac335f1fbaa7e08d |
completed | June 28, 2026, 7:07 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:20 p.m.