Triple
T28497973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soghomon Tehlirian |
E721157
|
entity |
| Predicate | countryOfAssassination |
P50073
|
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: [Soghomon Tehlirian, countryOfAssassination, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfAssassination Context triple: [Soghomon Tehlirian, countryOfAssassination, Germany]
-
A.
countryOfMartyrdom
Indicates the country in which a person was martyred.
-
B.
wasAssassinatedIn
Indicates that an entity was killed in a deliberate, targeted assassination that occurred at a specific place or time.
-
C.
assassinatedIn
chosen
Indicates that an assassination of one entity occurred within the specified location or context represented by another entity.
-
D.
countryOfDeath
Indicates the country in which an entity (typically a person) died.
-
E.
locatedInTheAdministrativeTerritorialEntityDuringAssassination
Indicates that an assassination took place while the subject was situated within a specified administrative territorial entity (such as a city, region, or country).
- 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_69f01a5afdac8190ac6e72d5c100bd58 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fe68a4b67881909ca1d9f276f922e0 |
completed | May 8, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69fe680234c88190b01f953987b74972 |
completed | May 8, 2026, 10:47 p.m. |
Created at: April 28, 2026, 3:05 a.m.