Triple
T35963945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Günter Guillaume |
E1040084
|
entity |
| Predicate | countryOfEspionageActivity |
P203845
|
FINISHED |
| Object | West Germany |
E862
|
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: West Germany | Statement: [Günter Guillaume, countryOfEspionageActivity, West Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfEspionageActivity Context triple: [Günter Guillaume, countryOfEspionageActivity, West Germany]
-
A.
countryOfEspionageBackground
Indicates that an entity has a history or background of espionage activities associated with a particular country.
-
B.
countryOfMission
Indicates that an entity (such as a mission, project, or operation) is associated with or takes place in a particular country.
-
C.
country of criminal activity
Indicates the country in which the criminal activity took place or was primarily carried out.
-
D.
countryOfDiplomaticMission
Indicates that a diplomatic mission is located in and officially accredited to a particular country.
-
E.
countryOfExploration
Indicates the country under whose auspices or within whose territory an exploration activity was conducted.
- 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_69f76e26b21081909fd9ffb3aff6c77a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a02206665508190ae2324d253ccf377 |
completed | May 11, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38bfc2c3b481909473399d3de9e569 |
completed | June 22, 2026, 4:53 a.m. |
| PD | Predicate disambiguation | batch_6a021fdc6e54819082847bedd97a680b |
completed | May 11, 2026, 6:28 p.m. |
| PDg | Predicate description generation | batch_6a0220656d9c819088d57951a96423b8 |
completed | May 11, 2026, 6:31 p.m. |
Created at: May 3, 2026, 4:07 p.m.