Triple
T16583665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yixian |
E402898
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Chengkan
Chengkan is a historic, well-preserved ancient village in Anhui Province, China, known for its traditional Huizhou architecture and cultural heritage.
|
E1220962
|
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: Chengkan | Statement: [Yixian, hasVillage, Chengkan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chengkan Context triple: [Yixian, hasVillage, Chengkan]
-
A.
Yasakaji
Yasakaji is a Buddhist temple in Japan known as Temple 47 on the Shikoku Pilgrimage.
-
B.
Nouchi
Nouchi is an Ivorian urban slang and lingua franca that blends French with local African languages and is widely spoken in Abidjan and other parts of Côte d’Ivoire.
-
C.
Kōtaishi
Kōtaishi is the formal Japanese title used to designate the heir apparent to the Chrysanthemum Throne.
-
D.
Gaochi
Gaochi is the given name of Zhu Gaochi, the Ming dynasty emperor known posthumously as the Hongxi Emperor.
-
E.
Kantokuen
Kantokuen was an Imperial Japanese Army war plan developed in 1941 for a large-scale invasion of the Soviet Far East from Manchuria.
- 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: Chengkan Triple: [Yixian, hasVillage, Chengkan]
Generated description
Chengkan is a historic, well-preserved ancient village in Anhui Province, China, known for its traditional Huizhou architecture and cultural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chengkan Target entity description: Chengkan is a historic, well-preserved ancient village in Anhui Province, China, known for its traditional Huizhou architecture and cultural heritage.
-
A.
Yasakaji
Yasakaji is a Buddhist temple in Japan known as Temple 47 on the Shikoku Pilgrimage.
-
B.
Nouchi
Nouchi is an Ivorian urban slang and lingua franca that blends French with local African languages and is widely spoken in Abidjan and other parts of Côte d’Ivoire.
-
C.
Kōtaishi
Kōtaishi is the formal Japanese title used to designate the heir apparent to the Chrysanthemum Throne.
-
D.
Gaochi
Gaochi is the given name of Zhu Gaochi, the Ming dynasty emperor known posthumously as the Hongxi Emperor.
-
E.
Kantokuen
Kantokuen was an Imperial Japanese Army war plan developed in 1941 for a large-scale invasion of the Soviet Far East from Manchuria.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35999f80c8190852fd4137bc45a80 |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ef2d6048190954144ab848760ec |
completed | May 10, 2026, 11:41 a.m. |
| NEDg | Description generation | batch_6a006fc84390819083d9d2ac1c558827 |
completed | May 10, 2026, 11:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007068715c8190914ccac7b14103e4 |
completed | May 10, 2026, 11:47 a.m. |
Created at: April 10, 2026, 5:16 a.m.