Triple
T10547659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abaqa Khan |
E248863
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Arghun |
E248864
|
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: Arghun | Statement: [Abaqa Khan, child, Arghun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arghun Context triple: [Abaqa Khan, child, Arghun]
-
A.
Arghun
chosen
Arghun was a late 13th-century Ilkhanid ruler of Persia known for his efforts to strengthen Mongol rule and seek alliances with European powers against the Mamluks.
-
B.
Shah Beg Arghun
Shah Beg Arghun was a 16th-century ruler who founded Arghun control over Sindh, marking a significant phase of early Mughal-era politics in the region.
-
C.
Ilkhan
The Ilkhan was the Mongol ruler of the Ilkhanate, a southwestern division of the Mongol Empire that governed much of Persia and the surrounding regions in the 13th–14th centuries.
-
D.
Ala al-Din
Ala al-Din is the given name of the medieval Arab physician and polymath Ibn al-Nafis, renowned for his early description of pulmonary circulation.
-
E.
Mozaffar ad-Din
Mozaffar ad-Din was a Qajar-era shah of Persia (Iran) known for granting the country’s first constitution in the early 20th century.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d526d20ef48190ab9f70d4ce5f2a11 |
completed | April 7, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbb6db3f2c81908a7cb28ca8e8ebc9 |
completed | April 12, 2026, 3:14 p.m. |
Created at: April 6, 2026, 12:33 p.m.