Triple
T28513291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dikhil |
E721547
|
entity |
| Predicate | governingCountryOfficialName |
P197229
|
FINISHED |
| Object | Republic of Djibouti |
—
|
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: Republic of Djibouti | Statement: [Dikhil, governingCountryOfficialName, Republic of Djibouti]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governingCountryOfficialName Context triple: [Dikhil, governingCountryOfficialName, Republic of Djibouti]
-
A.
associatedCountryOfficialName
Indicates that an entity is linked to the official, formal name of a specific country with which it is associated.
-
B.
countryOfficial
Indicates that an entity serves as the official or legally recognized country associated with another entity.
-
C.
representsCountryOfficialName
Indicates that an entity is the official, legally recognized country name of another entity.
-
D.
countryOfficialUse
Indicates that a country officially uses, recognizes, or adopts a particular entity (such as a language, currency, or symbol) in an official capacity.
-
E.
governingBodyCountry
Indicates the country within whose jurisdiction or authority a governing body operates or to which it officially belongs.
- 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_69f01a5c072081908c7b04bcf6478da9 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fe7eb4b8348190bb19d35766189ed4 |
completed | May 9, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69fe7c35d2148190ab952e54feda1e76 |
completed | May 9, 2026, 12:13 a.m. |
| PDg | Predicate description generation | batch_69fe7eb31b04819081be531fd9f8a78c |
completed | May 9, 2026, 12:24 a.m. |
Created at: April 28, 2026, 3:14 a.m.