Triple
T11314057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dagestan ASSR |
E267916
|
entity |
| Predicate | hasEthnicGroup |
P1898
|
FINISHED |
| Object | Laks |
E111144
|
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: Laks | Statement: [Dagestan ASSR, hasEthnicGroup, Laks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laks Context triple: [Dagestan ASSR, hasEthnicGroup, 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.
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.
-
C.
Lamut
Lamut is an indigenous Siberian people of northeastern Russia, more commonly known as the Even.
-
D.
Laak
Laak is an urban district of The Hague in the Netherlands, known for its dense residential areas, canals, and diverse population.
-
E.
Mahuva
Mahuva is a coastal town in Gujarat, India, known for its onion production, coconut plantations, and scenic beaches along the Arabian Sea.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c2c7b081909af8acebc8aa93aa |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a910a2c8190b8afd4c988e64141 |
completed | April 19, 2026, 5:02 p.m. |
Created at: April 8, 2026, 9:32 p.m.