Triple
T10642804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Kazakhstan Region |
E250764
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Oral |
E250763
|
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: Oral | Statement: [West Kazakhstan Region, administrativeCenter, Oral]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oral Context triple: [West Kazakhstan Region, administrativeCenter, Oral]
-
A.
Oral
chosen
Oral is a city in western Kazakhstan near the Russian border, known as a regional center situated along the Ural River.
-
B.
Oral Time
Oral Time is the time zone observed in the city of Oral in western Kazakhstan, corresponding to UTC+5 hours.
-
C.
Speak
"Speak" is a 2004 drama film based on Laurie Halse Anderson's novel, featuring Kristen Stewart as a traumatized teenager who becomes selectively mute after a sexual assault.
-
D.
Speak
"Speak" is a hard rock single by the American band Godsmack, known for its heavy riffs and aggressive vocal style.
-
E.
Spicheren
Spicheren is a commune in northeastern France near the German border, historically notable as the site of a major battle in the Franco-Prussian War.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfcf65fc81909a0c86daefaab1ab |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9884dab1481909c868f7d54265a60 |
completed | April 10, 2026, 11:31 p.m. |
Created at: April 8, 2026, 9:05 p.m.