Triple
T24530668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Embassy of Lebanon in France |
E606796
|
entity |
| Predicate | hasDiplomaticStaffFrom |
P156623
|
FINISHED |
| Object | Lebanon |
—
|
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: Lebanon | Statement: [Embassy of Lebanon in France, hasDiplomaticStaffFrom, Lebanon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDiplomaticStaffFrom Context triple: [Embassy of Lebanon in France, hasDiplomaticStaffFrom, Lebanon]
-
A.
hasDiplomaticMission
Indicates that one entity maintains an official diplomatic representation, such as an embassy or mission, in the territory or jurisdiction of another entity.
-
B.
hasConsulateOfUnitedStatesIn
Indicates that a consulate of the United States is located in the specified place.
-
C.
diplomaticRelation
Indicates a formal relationship of negotiation, communication, or representation between political entities, typically states or governments.
-
D.
receivesDiplomaticAccreditationFrom
Indicates that an entity is formally recognized and accepted in an official diplomatic capacity by another entity that grants the accreditation.
-
E.
countryOfDiplomaticMission
Indicates that a diplomatic mission is located in and officially accredited to a particular country.
- 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_69e2c4c90c848190b23c4303620dcaaf |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:25 a.m.