Triple
T14024297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Köchü |
E337416
|
entity |
| Predicate | nameInLatinAlphabet |
P22444
|
FINISHED |
| Object | Köchü |
E337416
|
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: Köchü | Statement: [Köchü, nameInLatinAlphabet, Köchü]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Köchü Context triple: [Köchü, nameInLatinAlphabet, Köchü]
-
A.
Köchü
chosen
Köchü was a 13th-century Mongol prince of the Borjigin dynasty, known as one of Ögedei Khan’s sons who held influence within the early Mongol Empire.
-
B.
Kocaali
Kocaali is a coastal town and district in northwestern Turkey, situated along the Black Sea in Sakarya Province.
-
C.
Kökeqota
Kökeqota is a historic city in what is now Hohhot, Inner Mongolia, that served as the principal political and administrative center of the Northern Yuan dynasty after the fall of the Yuan in China.
-
D.
Kökejin
Kökejin was a Mongol noblewoman of the Yuan dynasty best known as the mother of Emperor Temür Khan.
-
E.
Uzkoye
Uzkoye is a historic estate and former village in the south of Moscow, Russia, known for its noble residences and integration into the modern city.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa6ca7481908976ce748a1957b1 |
completed | April 14, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc33170ec8190b0ffe41a567a590b |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.