Triple
T21842626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Embassy of Canada in Iran |
E539291
|
entity |
| Predicate | involvedInRescueOf |
P134021
|
FINISHED |
| Object | American diplomats |
—
|
LITERAL 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: American diplomats | Statement: [Embassy of Canada in Iran, involvedInRescueOf, American diplomats]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvedInRescueOf Context triple: [Embassy of Canada in Iran, involvedInRescueOf, American diplomats]
-
A.
involvedRescue
chosen
Indicates that an entity participated in or contributed to a rescue operation or act of saving someone or something from danger.
-
B.
usedMeansToRescue
Indicates that one entity employed a particular method, tool, or means in order to carry out a rescue.
-
C.
rescuesWith
Indicates that one entity saves or frees another entity from danger, harm, or captivity using a particular means, tool, or method.
-
D.
rescuedDuring
Indicates that one entity was rescued in the course of, or as part of, a specified event or time period.
-
E.
typeOfRescue
Indicates the specific method or category of rescue operation performed in a rescue event.
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7ad76d48190a1905cfdbe866323 |
completed | April 28, 2026, 12:27 p.m. |
| PD | Predicate disambiguation | batch_69e6be8c14748190bdcc44a14d50bea4 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:55 p.m.