Triple
T15876502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaghawa people |
E384964
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Wadai |
E254194
|
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: Wadai | Statement: [Zaghawa people, region, Wadai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wadai Context triple: [Zaghawa people, region, Wadai]
-
A.
Wadai
chosen
Wadai is a historical region in eastern Chad and western Sudan known for its diverse ethnic groups and use of Taman and other Saharan languages.
-
B.
Washo
Washo is a Native American language isolate traditionally spoken by the Washoe people of the Lake Tahoe region in California and Nevada.
-
C.
Waase
Waase is a small village on the island of Ummanz in the German state of Mecklenburg-Vorpommern.
-
D.
Wadala
Wadala is a neighborhood in central Mumbai, India, known as a major residential and transport hub.
-
E.
Moru
Moru is a Central Sudanic language spoken primarily by the Moru people in South Sudan.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155fdc1b881909d1c82c4c66a195a |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa950a890819092bc1e8895034593 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:51 a.m.