Triple
T30073439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of Somali Region |
E764248
|
entity |
| Predicate | hasTitleInSomali |
P65893
|
FINISHED |
| Object | Madaxweynaha Dowlad Deegaanka Soomaalida |
—
|
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: Madaxweynaha Dowlad Deegaanka Soomaalida | Statement: [President of Somali Region, hasTitleInSomali, Madaxweynaha Dowlad Deegaanka Soomaalida]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTitleInSomali Context triple: [President of Somali Region, hasTitleInSomali, Madaxweynaha Dowlad Deegaanka Soomaalida]
-
A.
hasTitleInTransliteration
Indicates that an entity has a specific title represented in a transliterated form from another writing system.
-
B.
hasTitleInAfrikaans
Indicates that an entity has a specific title expressed in the Afrikaans language.
-
C.
hasTitleInLanguage
Indicates that an entity has a specific title expressed in a particular language.
-
D.
hasTitleIn
chosen
Indicates that an entity holds or is associated with a specific title within a particular context, domain, or language.
-
E.
hasTitleInEsperanto
Indicates that an entity has a specific title expressed in the Esperanto language.
- 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_69f22472eee081909791dc372aa766e9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: April 29, 2026, 7:01 p.m.