Triple
T3368566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prime Minister of Djibouti |
E70895
|
entity |
| Predicate | officeCreatedFollowing |
P33656
|
FINISHED |
| Object | independence of Djibouti from France |
—
|
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: independence of Djibouti from France | Statement: [Prime Minister of Djibouti, officeCreatedFollowing, independence of Djibouti from France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeCreatedFollowing Context triple: [Prime Minister of Djibouti, officeCreatedFollowing, independence of Djibouti from France]
-
A.
officeCreatedFor
Indicates that an office or position was established specifically to serve, represent, or support a particular entity.
-
B.
officeCreatedUnder
Indicates that an office was established or formed under the authority, jurisdiction, or organizational structure of a particular entity or governing body.
-
C.
officeCreatedAsResultOf
chosen
Indicates that an office came into existence as a consequence of a specific preceding event, action, or process.
-
D.
officeSucceededBy
Indicates that one office or position is followed or replaced by another office or position in a succession sequence.
-
E.
officeSucceeded
Indicates that one office or term of office directly followed and replaced another in a sequence.
- 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb28a813c81909d1c71fe577e6681 |
completed | March 8, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69ada4317e288190ab7d0f66e9dba65f |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:13 p.m.