Triple
T19332982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsudakhar |
E483541
|
entity |
| Predicate | hasAncestor |
P369
|
FINISHED |
| Object | Old Dargin |
—
|
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: Old Dargin | Statement: [Tsudakhar, hasAncestor, Old Dargin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Dargin Context triple: [Tsudakhar, hasAncestor, Old Dargin]
-
A.
Chazhashi
Chazhashi is a historic village in Georgia’s Svaneti region, renowned for its medieval stone towers and traditional mountain architecture.
-
B.
Proto-Dargwa
chosen
Proto-Dargwa is the reconstructed ancestral language from which the modern Dargwa varieties of the Northeast Caucasian language family are derived.
-
C.
Uraidla
Uraidla is a small town in the Adelaide Hills region of South Australia, known for its orchards, cool-climate produce, and scenic rural setting.
-
D.
Tashelhiyt
Tashelhiyt is a variety of the Shilha Berber language spoken primarily by Amazigh communities in southwestern Morocco.
-
E.
Dargin
Dargin is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan in Russia.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61642f49c81909226cfd701f7c139 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.