Triple
T160223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soviet embassy in Tehran |
E3266
|
entity |
| Predicate | reasonForVenueChoice |
P3364
|
FINISHED |
| Object | security concerns for Allied leaders in Tehran |
—
|
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: security concerns for Allied leaders in Tehran | Statement: [Soviet embassy in Tehran, reasonForVenueChoice, security concerns for Allied leaders in Tehran]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForVenueChoice Context triple: [Soviet embassy in Tehran, reasonForVenueChoice, security concerns for Allied leaders in Tehran]
-
A.
selectionReason
chosen
Indicates the reason or justification for choosing or selecting one entity over alternatives.
-
B.
reasonForRelocation
Indicates the underlying cause, motivation, or circumstance that led an entity to move from one location to another.
-
C.
venue
Indicates the place or location where an event, activity, or interaction takes place.
-
D.
travelPreference
Indicates a person's favored way or style of traveling, such as preferred modes, conditions, or arrangements for trips.
-
E.
canRecommend
Indicates that one entity is able or authorized to suggest or endorse another entity as suitable or preferable.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a25856d934819095460b2ea566eb6b |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a256623704819089d9eeefe05858ce |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.