Triple
T23166098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuan Dadu |
E578714
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Daidu |
—
|
NE NERFINISHED |
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: Daidu | Statement: [Yuan Dadu, alsoKnownAs, Daidu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daidu Context triple: [Yuan Dadu, alsoKnownAs, Daidu]
-
A.
Dading
Dading was the era name used during the reign of Emperor Shizong of the Jurchen-led Jin dynasty in northern China.
-
B.
Dading
Dading was a historical Chinese era name used during the Western Wei dynasty in the 6th century.
-
C.
Tadian
Tadian is a rural municipality in the Cordillera region of the Philippines known for its mountainous terrain, indigenous Kankanaey culture, and terraced agricultural landscapes.
-
D.
Dadu
chosen
Dadu was the Yuan dynasty capital city established by Kublai Khan on the site of present-day Beijing, serving as the political and cultural center of his empire.
-
E.
Dadu
Dadu is a city in Pakistan’s Sindh province known as a regional commercial center and gateway to nearby historical and natural sites such as the Kirthar National Park.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f2bca4881909f6148d588948018 |
completed | April 29, 2026, 4:55 a.m. |
Created at: April 17, 2026, 4:03 p.m.