Triple
T15945481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hadiyya language |
E386671
|
entity |
| Predicate | hasEthnologueEntry |
P19233
|
FINISHED |
| Object | Hadiyya |
E837597
|
NE 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: Hadiyya | Statement: [Hadiyya language, hasEthnologueEntry, Hadiyya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hadiyya Context triple: [Hadiyya language, hasEthnologueEntry, Hadiyya]
-
A.
Hadiyya
chosen
Hadiyya is a Cushitic language spoken primarily by the Hadiya people in southern Ethiopia.
-
B.
Hawiyah
Hawiyah is an Islamic eschatological term referring to a deep abyss of Hell reserved for those whose evil deeds outweigh their good.
-
C.
Hawiyah
Hawiyah is a major gas plant and associated residential/industrial area in eastern Saudi Arabia that supports processing operations for the vast Ghawar oil field.
-
D.
Hasbaya
Hasbaya is a historic town in southern Lebanon known for its strategic location near Mount Hermon and its traditional Druze and Christian communities.
-
E.
Zahwa
Zahwa is a feminine given name of Arabic origin, often interpreted to mean "radiance" or "beauty."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_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_69ffc3bfe72c819095f40a255bcd7ad5 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.