Triple
T6587613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Aramaic |
E159266
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Lishanid Noshan |
E603330
|
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: Lishanid Noshan | Statement: [Eastern Aramaic, hasPart, Lishanid Noshan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lishanid Noshan Context triple: [Eastern Aramaic, hasPart, Lishanid Noshan]
-
A.
Lishan Didan
chosen
Lishan Didan is a Jewish Neo-Aramaic language traditionally spoken by Kurdish and Azerbaijani Jews from the regions of northwestern Iran and eastern Turkey.
-
B.
Yishan
Yishan was a Qing dynasty military commander and noble who led Chinese forces during the First Opium War against Britain.
-
C.
Qishan
Qishan was a high-ranking Qing dynasty official and diplomat who played a key role in negotiating with the British during the First Opium War.
-
D.
Mount Wangwu
Mount Wangwu is a renowned scenic mountain area in China, celebrated for its dramatic landscapes, cultural legends, and historical significance within the Taihang mountain range.
-
E.
Liushi Shan
Liushi Shan is a prominent high-altitude peak in western China, recognized as the highest summit in the Kunlun Mountains range.
- 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_69c688366ce8819083f8883983c0df92 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6aeafd2848190bb51e3ea9711c803 |
completed | March 27, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e42b72c481909f582f4f5b07e3d9 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:55 p.m.