Triple
T23041967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinh |
E573759
|
entity |
| Predicate | hasAdministrativeDivision |
P747
|
FINISHED |
| Object |
Trung Đô Ward
Trung Đô Ward is an urban administrative subdivision of the city of Vinh in Nghệ An Province, Vietnam.
|
E1568982
|
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: Trung Đô Ward | Statement: [Vinh, hasAdministrativeDivision, Trung Đô Ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trung Đô Ward Context triple: [Vinh, hasAdministrativeDivision, Trung Đô Ward]
-
A.
Đồng Nhân Ward
Đồng Nhân Ward is an urban administrative ward located within Hai Bà Trưng District in central Hanoi, Vietnam.
-
B.
Tứ Liên Ward
Tứ Liên Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the city’s Tây Hồ District.
-
C.
Khương Mai Ward
Khương Mai Ward is an urban administrative subdivision located within Thanh Xuân District of Hanoi, Vietnam.
-
D.
Chuo Ward
Chuo Ward is a central administrative district of Kumamoto City in Japan, known for its role as a key commercial and civic hub of the area.
-
E.
Chuo Ward
Chuo Ward is a central special ward of Tokyo, Japan, known for its major commercial districts like Ginza and Nihonbashi and its role as a key business and shopping hub.
- 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: Trung Đô Ward Triple: [Vinh, hasAdministrativeDivision, Trung Đô Ward]
Generated description
Trung Đô Ward is an urban administrative subdivision of the city of Vinh in Nghệ An Province, Vietnam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trung Đô Ward Target entity description: Trung Đô Ward is an urban administrative subdivision of the city of Vinh in Nghệ An Province, Vietnam.
-
A.
Đồng Nhân Ward
Đồng Nhân Ward is an urban administrative ward located within Hai Bà Trưng District in central Hanoi, Vietnam.
-
B.
Tứ Liên Ward
Tứ Liên Ward is an urban administrative subdivision of Hanoi, Vietnam, located within the city’s Tây Hồ District.
-
C.
Khương Mai Ward
Khương Mai Ward is an urban administrative subdivision located within Thanh Xuân District of Hanoi, Vietnam.
-
D.
Chuo Ward
Chuo Ward is a central administrative district of Kumamoto City in Japan, known for its role as a key commercial and civic hub of the area.
-
E.
Chuo Ward
Chuo Ward is a central special ward of Tokyo, Japan, known for its major commercial districts like Ginza and Nihonbashi and its role as a key business and shopping hub.
- 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18513fc54819096d761a0be75b774 |
completed | April 29, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c0ad85abc8190ab6328224aa3320f |
completed | May 19, 2026, 7:01 a.m. |
| NEDg | Description generation | batch_6a0c0f873d588190be23c0040c50024c |
completed | May 19, 2026, 7:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c0fe69cf0819091fe545b9fdfeaca |
completed | May 19, 2026, 7:23 a.m. |
Created at: April 17, 2026, 3:54 p.m.