Triple
T30395728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adama Barrow |
E773212
|
entity |
| Predicate | swornInAt |
P169158
|
FINISHED |
| Object |
Gambian embassy in Dakar
The Gambian embassy in Dakar is The Gambia's diplomatic mission in Senegal’s capital, which notably served as the site of Adama Barrow’s presidential swearing-in during the 2017 political crisis.
|
E1913873
|
NE FINISHED |
How this triple was built (3 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]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gambian embassy in Dakar Triple: [Adama Barrow, swornInAt, Gambian embassy in Dakar]
Generated description
The Gambian embassy in Dakar is The Gambia's diplomatic mission in Senegal’s capital, which notably served as the site of Adama Barrow’s presidential swearing-in during the 2017 political crisis.
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 (7 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a278951b020819096086e80e59acd11 |
completed | June 9, 2026, 3:32 a.m. |
| NEDg | Description generation | batch_6a278a5d184081908fbaf650cb44e2b7 |
completed | June 9, 2026, 3:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a278cda6ab8819097cd6e2f0b1124c1 |
completed | June 9, 2026, 3:47 a.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.