Triple
T18406999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulanhu |
E441650
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Buhe
Buhe was a Chinese politician of Mongol ethnicity who served in various regional leadership roles, including as chairman of the Inner Mongolia Autonomous Region.
|
E1322350
|
NE FINISHED |
How this triple was built (4 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: Buhe | Statement: [Ulanhu, child, Buhe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buhe Context triple: [Ulanhu, child, Buhe]
-
A.
Mogoditshane
Mogoditshane is a rapidly growing suburban township located just outside Botswana’s capital, Gaborone.
-
B.
Gqeberha
Gqeberha is a major coastal city in South Africa’s Eastern Cape, known as an important industrial, commercial, and port hub.
-
C.
Giyani
Giyani is a town in northeastern Limpopo, South Africa, known as an administrative and commercial center for the surrounding rural region.
-
D.
Mabopane
Mabopane is a large residential township in the northern part of the City of Tshwane Metropolitan Municipality in South Africa, known for its vibrant local economy and commuter links to Pretoria.
-
E.
Makhado
Makhado is a major town in South Africa’s Limpopo province, serving as an important commercial and administrative center in the Vhembe region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Buhe Triple: [Ulanhu, child, Buhe]
Generated description
Buhe was a Chinese politician of Mongol ethnicity who served in various regional leadership roles, including as chairman of the Inner Mongolia Autonomous Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Buhe Target entity description: Buhe was a Chinese politician of Mongol ethnicity who served in various regional leadership roles, including as chairman of the Inner Mongolia Autonomous Region.
-
A.
Mogoditshane
Mogoditshane is a rapidly growing suburban township located just outside Botswana’s capital, Gaborone.
-
B.
Gqeberha
Gqeberha is a major coastal city in South Africa’s Eastern Cape, known as an important industrial, commercial, and port hub.
-
C.
Giyani
Giyani is a town in northeastern Limpopo, South Africa, known as an administrative and commercial center for the surrounding rural region.
-
D.
Mabopane
Mabopane is a large residential township in the northern part of the City of Tshwane Metropolitan Municipality in South Africa, known for its vibrant local economy and commuter links to Pretoria.
-
E.
Makhado
Makhado is a major town in South Africa’s Limpopo province, serving as an important commercial and administrative center in the Vhembe region.
- F. None of above. chosen
Provenance (5 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e519591fdc8190a92f9587ec88478d |
completed | April 19, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03e2480ec881909d92a2303fc8409f |
completed | May 13, 2026, 2:30 a.m. |
| NEDg | Description generation | batch_6a03e341afa881909fce49af047d0a83 |
completed | May 13, 2026, 2:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03e3ac2f4081908e086f8efd1393ae |
completed | May 13, 2026, 2:36 a.m. |
Created at: April 10, 2026, 10:46 a.m.