Triple
T15945456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hadiyya language |
E386671
|
entity |
| Predicate | isAlsoKnownAs |
P39
|
FINISHED |
| Object |
Hadiyya Afoo
Hadiyya Afoo is a Cushitic language spoken primarily by the Hadiyya people in southern Ethiopia.
|
E1186077
|
NE FINISHED |
How this triple was built (4 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: Hadiyya Afoo | Statement: [Hadiyya language, isAlsoKnownAs, Hadiyya Afoo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hadiyya Afoo Context triple: [Hadiyya language, isAlsoKnownAs, Hadiyya Afoo]
-
A.
Rashidah
Rashidah is a feminine given name of Arabic origin commonly used in Muslim communities.
-
B.
Mizzi Ahmar
Mizzi Ahmar is a reddish variety of Jerusalem stone commonly used as a traditional building material in and around Jerusalem.
-
C.
Fahdah
Fahdah is a Saudi princess, formally known as Princess Fahdah Mohammed Abunayyan, associated with the Saudi royal family.
-
D.
Hawa Abdi
Hawa Abdi was a pioneering Somali doctor, human rights activist, and humanitarian who founded a hospital and refuge for tens of thousands of displaced people during her country’s civil war.
-
E.
Haya Harareet
Haya Harareet was an Israeli actress best known for her role as Esther opposite Charlton Heston in the 1959 epic film "Ben-Hur."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Hadiyya Afoo Triple: [Hadiyya language, isAlsoKnownAs, Hadiyya Afoo]
Generated description
Hadiyya Afoo is a Cushitic language spoken primarily by the Hadiyya people in southern Ethiopia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hadiyya Afoo Target entity description: Hadiyya Afoo is a Cushitic language spoken primarily by the Hadiyya people in southern Ethiopia.
-
A.
Rashidah
Rashidah is a feminine given name of Arabic origin commonly used in Muslim communities.
-
B.
Mizzi Ahmar
Mizzi Ahmar is a reddish variety of Jerusalem stone commonly used as a traditional building material in and around Jerusalem.
-
C.
Fahdah
Fahdah is a Saudi princess, formally known as Princess Fahdah Mohammed Abunayyan, associated with the Saudi royal family.
-
D.
Hawa Abdi
Hawa Abdi was a pioneering Somali doctor, human rights activist, and humanitarian who founded a hospital and refuge for tens of thousands of displaced people during her country’s civil war.
-
E.
Haya Harareet
Haya Harareet was an Israeli actress best known for her role as Esther opposite Charlton Heston in the 1959 epic film "Ben-Hur."
- F. None of above. chosen
Provenance (5 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d0d55c8190af59ff169e8add78 |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe76df6481909f8246099faa377a |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbf61b2ec81909c0f32613bb91a82 |
completed | May 9, 2026, 11:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbfddd0348190baab794f613c71bf |
completed | May 9, 2026, 11:14 p.m. |
Created at: April 10, 2026, 4:53 a.m.