Triple
T20200220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dido (Tsez) peoples |
E493194
|
entity |
| Predicate | ethnonym |
P4709
|
FINISHED |
| Object | Tsez |
—
|
NE NERFINISHED |
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: Tsez | Statement: [Dido (Tsez) peoples, ethnonym, Tsez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsez Context triple: [Dido (Tsez) peoples, ethnonym, Tsez]
-
A.
Tsez
chosen
Tsez is a Northeast Caucasian language spoken primarily by the Tsez people in the mountainous regions of Dagestan, Russia.
-
B.
Tarschys
Tarschys is a Swedish surname most notably associated with political scientist and former Secretary General of the Council of Europe Daniel Tarschys.
-
C.
Tjuchem
Tjuchem is a small village in the province of Groningen in the Netherlands, known for its rural character and agricultural surroundings.
-
D.
Lezginka
Lezginka is a fast-paced, energetic folk dance of the Caucasus region, characterized by sharp, agile movements and often performed at celebrations and cultural events.
-
E.
Tsintsars
Tsintsars are an Aromanian-speaking ethnic group from the Balkans, historically known as merchants and herders spread across regions such as Greece, Albania, North Macedonia, and Serbia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66d8d01648190b1b3a6e03f0258d8 |
completed | April 20, 2026, 6:16 p.m. |
Created at: April 11, 2026, 11:37 p.m.