Triple
T30395728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adama Barrow |
E773212
|
entity |
| Predicate | swornInAt |
P169158
|
FINISHED |
| Object | Gambian embassy in Dakar |
—
|
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: Gambian embassy in Dakar | Statement: [Adama Barrow, swornInAt, Gambian embassy in Dakar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: swornInAt Context triple: [Adama Barrow, swornInAt, Gambian embassy in Dakar]
-
A.
sworeInAs
Indicates that one entity formally administered or participated in the official oath-taking that installed another entity into an office, role, or position.
-
B.
swornInOn
Indicates that an individual formally assumes an office, role, or duty by taking an official oath on a specified date, occasion, or object.
-
C.
swornInAsSenatorBy
Indicates that one person formally administers the oath of office to another person, thereby officially installing them as a senator.
-
D.
timeOfOath
Indicates the specific time at which an oath is made, taken, or becomes effective.
-
E.
inauguratedFor
Indicates that a formal ceremony or event was held to officially begin or dedicate something specifically for a particular entity, role, or purpose.
- 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_69f2248facd48190b183c3f3ca6daef7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f685add1a48190b59d888f861cd410 |
completed | May 2, 2026, 11:15 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f679496c188190ba585792f987a1f4 |
completed | May 2, 2026, 10:23 p.m. |
Created at: April 29, 2026, 8:02 p.m.