Triple
T18622629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yauli Province |
E455193
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Huay-Huay
Huay-Huay is a town and district-level settlement located in the high Andean region of central Peru.
|
E1334876
|
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: Huay-Huay | Statement: [Yauli Province, hasSettlement, Huay-Huay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huay-Huay Context triple: [Yauli Province, hasSettlement, Huay-Huay]
-
A.
Hua
Hua is a Chinese given name commonly used for both males and females, often associated with meanings like "flower" or "China."
-
B.
Huayu
Huayu is a term used primarily in Singapore, Malaysia, and other overseas Chinese communities to refer to the standardized form of Mandarin Chinese used in education and media.
-
C.
Feng-tien
Feng-tien is an older romanized form of the name Fengtian, historically used for the city now known as Shenyang in northeastern China.
-
D.
Paihuano
Paihuano is a small town and commune in Chile’s Elqui Valley, known for its clear skies, pisco production, and astrotourism.
-
E.
Xuanhu
Xuanhu is the art name of Xu Guangqi, a prominent late Ming dynasty scholar-official, scientist, and collaborator of Matteo Ricci in introducing Western science to China.
- 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: Huay-Huay Triple: [Yauli Province, hasSettlement, Huay-Huay]
Generated description
Huay-Huay is a town and district-level settlement located in the high Andean region of central Peru.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huay-Huay Target entity description: Huay-Huay is a town and district-level settlement located in the high Andean region of central Peru.
-
A.
Hua
Hua is a Chinese given name commonly used for both males and females, often associated with meanings like "flower" or "China."
-
B.
Huayu
Huayu is a term used primarily in Singapore, Malaysia, and other overseas Chinese communities to refer to the standardized form of Mandarin Chinese used in education and media.
-
C.
Feng-tien
Feng-tien is an older romanized form of the name Fengtian, historically used for the city now known as Shenyang in northeastern China.
-
D.
Paihuano
Paihuano is a small town and commune in Chile’s Elqui Valley, known for its clear skies, pisco production, and astrotourism.
-
E.
Xuanhu
Xuanhu is the art name of Xu Guangqi, a prominent late Ming dynasty scholar-official, scientist, and collaborator of Matteo Ricci in introducing Western science to China.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f020fa08190bd78d72182496b19 |
completed | April 19, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050d765bb081908aab41aa6bb97fe4 |
completed | May 13, 2026, 11:47 p.m. |
| NEDg | Description generation | batch_6a050f6306ac8190aa4d72627345cf55 |
completed | May 13, 2026, 11:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a050ff68a7c8190bf82d00370f4b1d4 |
completed | May 13, 2026, 11:57 p.m. |
Created at: April 10, 2026, 11:46 a.m.