Triple
T19333188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lak |
E483549
|
entity |
| Predicate | ethnonym |
P4709
|
FINISHED |
| Object | Lak |
—
|
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: Lak | Statement: [Lak, ethnonym, Lak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lak Context triple: [Lak, ethnonym, Lak]
-
A.
Lak
chosen
Lak are a Northeast Caucasian ethnic group primarily inhabiting Dagestan in the North Caucasus region of Russia, known for their distinct Lak language and cultural traditions.
-
B.
Lac
Lac is a region in southwestern Chad known for encompassing part of Lake Chad and being home to diverse ethnic groups including the Gorane people.
-
C.
Noamlakee
Noamlakee is an alternative name for the Nomlaki language, a Native American language of the Wintuan family traditionally spoken in Northern California.
-
D.
The Lakes
The Lakes is an upscale residential community in Dubai known for its landscaped lakes, family-friendly environment, and proximity to major developments like Emirates Hills.
-
E.
The Lakes
The Lakes is a British television drama series set in England’s Lake District, following the troubled life of a young man who relocates there seeking a fresh start.
- 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.