Triple
T19620566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Oghuz languages |
E470994
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Salar |
—
|
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: Salar | Statement: [Eastern Oghuz languages, hasMember, Salar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salar Context triple: [Eastern Oghuz languages, hasMember, Salar]
-
A.
Salar
chosen
Salar is a Turkic ethnic group primarily residing in northwestern China, known for speaking the Salar language and practicing Islam.
-
B.
Tuz
Tuz is a town in northern Iraq, also known as Tuz Khurmatu, located in the Saladin Governorate and noted for its ethnically diverse population.
-
C.
Jaramana
Jaramana is a densely populated suburban city near Damascus in southwestern Syria, known for its diverse population and large communities of internally displaced people and refugees.
-
D.
Qahhor
Qahhor is a masculine given name commonly used in Central Asia, particularly in Tajik and Uzbek cultures.
-
E.
Khora
Khora is one of the now nearly extinct indigenous languages once spoken by the Great Andamanese people of the Andaman Islands in India.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640e512d08190a76bf81b3282e0e5 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:43 p.m.