Triple
T11516018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iraqw |
E273031
|
entity |
| Predicate | hasLoanwordsFrom |
P506
|
FINISHED |
| Object | Datooga |
E257722
|
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: Datooga | Statement: [Iraqw, hasLoanwordsFrom, Datooga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Datooga Context triple: [Iraqw, hasLoanwordsFrom, Datooga]
-
A.
Datooga
chosen
Datooga is a Southern Nilotic language spoken primarily by the Datooga people of north-central Tanzania.
-
B.
Dondo
Dondo is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
-
C.
Hadibu
Hadibu is the main town and administrative center of the Yemeni island of Socotra in the Arabian Sea.
-
D.
Konda-Dora
Konda-Dora is a South-Central Dravidian language spoken primarily by the Konda Dora tribal community in parts of Andhra Pradesh and Odisha, India.
-
E.
Kambaata
Kambaata is a Cushitic language spoken primarily by the Kambaata people in southern Ethiopia.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fcc72a48190b81acedfcc8685d3 |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6852a23688190a3fe8e5508435661 |
completed | April 20, 2026, 7:57 p.m. |
Created at: April 8, 2026, 9:36 p.m.