Triple
T14269681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ra’iisul wasaaraha Jabuuti |
E353745
|
entity |
| Predicate | officeCreatedInCountry |
P113514
|
FINISHED |
| Object | Djibouti after independence |
—
|
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: Djibouti after independence | Statement: [Ra’iisul wasaaraha Jabuuti, officeCreatedInCountry, Djibouti after independence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeCreatedInCountry Context triple: [Ra’iisul wasaaraha Jabuuti, officeCreatedInCountry, Djibouti after independence]
-
A.
countryOfOffice
Indicates the country in which a person’s official position, role, or office is held or exercised.
-
B.
workPremiereCountry
Indicates the country in which a work (such as a film, play, or musical piece) was first premiered or publicly presented.
-
C.
officeCreatedUnder
Indicates that an office was established or formed under the authority, jurisdiction, or organizational structure of a particular entity or governing body.
-
D.
adminCountry
Indicates that one entity serves as the administrative or governing country for another entity.
-
E.
organizationHeadquarteredInCountry
Indicates that an organization’s main headquarters or principal place of business is located within a specified 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de657fe6708190b41de48c43cff647 |
completed | April 14, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69de2a7d586c8190846ff242bbf5ac53 |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:10 a.m.