Triple
T20229526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robotyne area |
E495477
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Tokmak |
—
|
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: Tokmak | Statement: [Robotyne area, nearbySettlement, Tokmak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tokmak Context triple: [Robotyne area, nearbySettlement, Tokmak]
-
A.
Tokmak
chosen
Tokmak is a small industrial city in southeastern Ukraine, located in Zaporizhzhia Oblast.
-
B.
Kargilik
Kargilik is a historic oasis town in southwestern Xinjiang, China, situated along the ancient Silk Road and traditionally inhabited by Uyghur communities.
-
C.
Kurtamysh
Kurtamysh is a small town in southwestern Siberia, Russia, serving as a local administrative and economic center in Kurgan Oblast.
-
D.
Ust-Koksa
Ust-Koksa is a rural settlement in Russia’s Altai Republic, known as a gateway village for trekking and tourism in the Belukha Mountain region of the Altai Mountains.
-
E.
Touqan
Touqan is a family name of notable Palestinian origin, associated with prominent poets, politicians, and intellectuals in the Arab world.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fdc2590819089a946d16c6c0e59 |
completed | April 20, 2026, 6:26 p.m. |
Created at: April 11, 2026, 11:39 p.m.