Triple
T25673187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Jung |
E643733
|
entity |
| Predicate | locatedInTheCountryOfOffice |
P183975
|
FINISHED |
| Object | Germany |
—
|
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: Germany | Statement: [Thomas Jung, locatedInTheCountryOfOffice, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInTheCountryOfOffice Context triple: [Thomas Jung, locatedInTheCountryOfOffice, Germany]
-
A.
countryOfOffice
Indicates the country in which a person’s official position, role, or office is held or exercised.
-
B.
placeOfOffice
Indicates the location where an office or official position is held or based.
-
C.
locatedInDiplomaticQuarter
Indicates that something is situated within an area designated as a diplomatic quarter, typically a district hosting embassies and diplomatic missions.
-
D.
locatedInDiplomaticMission
Indicates that one entity is physically situated within the premises or jurisdiction of a diplomatic mission (such as an embassy or consulate).
-
E.
locatedOnTerritoryOf
Indicates that one entity is situated within or on the land area governed or owned by another entity.
- F. None of above. chosen
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_69e77e7f69808190ad27df1006f6037a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f7aaabb58c8190bf81673608ecfb6e |
completed | May 3, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f7a8cec6d48190bebfa884b2f938c0 |
completed | May 3, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f7aa6795f481908940838ee7041ff5 |
completed | May 3, 2026, 8:04 p.m. |
Created at: April 21, 2026, 7:31 p.m.