Triple
T13040850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golestan Province |
E327185
|
entity |
| Predicate | hasEthnicGroup |
P1898
|
FINISHED |
| Object | Lak |
E483549
|
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: Lak | Statement: [Golestan Province, hasEthnicGroup, Lak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lak Context triple: [Golestan Province, hasEthnicGroup, 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.
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.
-
C.
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.
-
D.
Laak
Laak is an urban district of The Hague in the Netherlands, known for its dense residential areas, canals, and diverse population.
-
E.
Lysva
Lysva is an industrial city in Perm Krai, Russia, historically known for its metallurgical and machine-building industries.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d9804d8e3081909584c93df099859a |
completed | April 10, 2026, 10:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbd5139c8190aaec6487f074f251 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:56 p.m.