Triple
T3284237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Korean pine |
E68942
|
entity |
| Predicate | nativeTo |
P410
|
FINISHED |
| Object | Mongolia |
E23408
|
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: Mongolia | Statement: [Korean pine, nativeTo, Mongolia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mongolia Context triple: [Korean pine, nativeTo, Mongolia]
-
A.
Mongolia
chosen
Mongolia is a landlocked nation in East and Central Asia known for its vast steppes, nomadic culture, and historical legacy as the heartland of the Mongol Empire founded by Genghis Khan.
-
B.
Russia and Mongolia
Russia and Mongolia are neighboring countries in northern Eurasia that share a long land border across the Central Asian steppe and mountain regions.
-
C.
Öndörkhaan, Mongolia
Öndörkhaan is a town in eastern Mongolia known historically as the site where Chinese marshal Lin Biao died in a 1971 plane crash.
-
D.
Kazakhstan
Kazakhstan is a vast, landlocked country in Central Asia and Eastern Europe known for its rich natural resources, diverse ethnic makeup, and former status as a Soviet republic with its capital in Astana.
-
E.
Kyrgyzstan
Kyrgyzstan is a landlocked Central Asian country known for its mountainous terrain, nomadic heritage, and status as a former Soviet republic.
- 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_69ad859c463481909ca4be267336c290 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0377c9c819089af47952946de52 |
completed | March 8, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3ca2fdc81908ba4f304c63989ea |
completed | March 12, 2026, 5:11 p.m. |
Created at: March 8, 2026, 3:10 p.m.