Triple
T14061937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yesügei |
E338366
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Yesügei Baghatur |
E338366
|
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: Yesügei Baghatur | Statement: [Yesügei, hasTitle, Yesügei Baghatur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yesügei Baghatur Context triple: [Yesügei, hasTitle, Yesügei Baghatur]
-
A.
Yesügei
chosen
Yesügei was a 12th-century Mongol chieftain of the Borjigin clan and the father of Genghis Khan.
-
B.
Boorga
Boorga is a small rural locality within the Hay Shire local government area in New South Wales, Australia.
-
C.
Byureghavan
Byureghavan is a small town in Armenia known for its industrial activity and proximity to the capital, Yerevan.
-
D.
Dar Baachtar
Dar Baachtar is a village located in the Koura District of northern Lebanon, known for its rural character within the country's coastal hinterland.
-
E.
Baljurashi
Baljurashi is a city in southwestern Saudi Arabia known for its mountainous terrain, cool climate, and location within the Al Bahah region.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de568876308190840361dcaf10bd45 |
completed | April 14, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb6654850819083262f3fb981eb1a |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:21 p.m.