Triple
T24530669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Embassy of Lebanon in France |
E606796
|
entity |
| Predicate | hasMissionChiefTitle |
P37113
|
FINISHED |
| Object | Ambassador of Lebanon to France |
—
|
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: Ambassador of Lebanon to France | Statement: [Embassy of Lebanon in France, hasMissionChiefTitle, Ambassador of Lebanon to France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMissionChiefTitle Context triple: [Embassy of Lebanon in France, hasMissionChiefTitle, Ambassador of Lebanon to France]
-
A.
hasChiefTitle
Indicates that an entity holds or is associated with a specific chief-level title or designation within an organization or group.
-
B.
isHeadOfMissionTitle
chosen
Indicates that a given title designates the role of head of a mission or delegation.
-
C.
hasChiefInspectorTitle
Indicates that an entity holds the position or rank associated with the title of Chief Inspector.
-
D.
headOfMission
Indicates that one entity serves as the chief or principal leader in charge of a specific mission or delegation.
-
E.
chiefLieutenantOf
Indicates that one person serves as the primary subordinate or top-ranking assistant to another leader or authority figure.
- 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_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. |
Created at: April 18, 2026, 2:25 a.m.