Triple
T8710095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maay |
E206751
|
entity |
| Predicate | endonym |
P1435
|
FINISHED |
| Object | Af-Maay |
E753672
|
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: Af-Maay | Statement: [Maay, endonym, Af-Maay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Af-Maay Context triple: [Maay, endonym, Af-Maay]
-
A.
Af-Maay
chosen
Af-Maay is a Cushitic language spoken primarily by the Maay-speaking Somali communities in southern Somalia and neighboring regions.
-
B.
Elaraby
Elaraby is an Arabic surname most prominently associated with Nabil Elaraby, an Egyptian diplomat and former Secretary-General of the Arab League.
-
C.
Tamasheq
Tamasheq is a Berber language spoken by the Tuareg people of the central Sahara region.
-
D.
Siwi language
The Siwi language is a Berber (Amazigh) language spoken by the Siwi people in Egypt’s Siwa Oasis, characterized by significant Arabic influence and its status as one of the easternmost Berber languages.
-
E.
Kankana-ey
Kankana-ey is an Austronesian language spoken by the Kankanaey people of the northern Philippines, particularly in the Cordillera region of Luzon.
- 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_69ca835645e881908f00e3c8b51da81d |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5c3034708190b895eaf890d62198 |
completed | March 31, 2026, 11:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf4290a25c81908f62e91b6d363419 |
completed | April 3, 2026, 4:31 a.m. |
Created at: March 30, 2026, 6:35 p.m.