Triple
T19396207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peoples of Dagestan |
E485193
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Laks |
—
|
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: Laks | Statement: [Peoples of Dagestan, hasPart, Laks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laks Context triple: [Peoples of Dagestan, hasPart, Laks]
-
A.
Laks
chosen
Laks are an indigenous ethnic group of Dagestan in the North Caucasus, known for their Northeast Caucasian Lak language and distinct cultural traditions.
-
B.
Lipar
Lipar is a small settlement located within the municipality of Kula in Serbia.
-
C.
Karosta
Karosta is a historic former military port district in the Latvian city of Liepāja, known for its Tsarist-era fortifications, Soviet naval heritage, and distinctive coastal landscape.
-
D.
Lamut
Lamut is an indigenous Siberian people of northeastern Russia, more commonly known as the Even.
-
E.
Thon
Thon is a wise and powerful Jedi Master from the Star Wars Expanded Universe, known for training notable Jedi such as Nomi Sunrider during the Old Republic era.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62573f5788190a635b92121db2cf7 |
completed | April 20, 2026, 1:09 p.m. |
Created at: April 10, 2026, 1:36 p.m.