Triple
T23041958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinh |
E573759
|
entity |
| Predicate | hasAdministrativeDivision |
P747
|
FINISHED |
| Object |
Trường Thi Ward
Trường Thi Ward is an urban administrative subdivision of the city of Vinh in Nghệ An Province, Vietnam.
|
E1568974
|
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: Trường Thi Ward | Statement: [Vinh, hasAdministrativeDivision, Trường Thi Ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trường Thi Ward Context triple: [Vinh, hasAdministrativeDivision, Trường Thi Ward]
-
A.
Whau Ward
Whau Ward is a local government area within Auckland, New Zealand, that encompasses suburbs such as New Lynn and is represented on the Auckland Council.
-
B.
Trung Văn Ward
Trung Văn Ward is an administrative subdivision of Hanoi, Vietnam, located within the urban Nam Từ Liêm District.
-
C.
Bách Khoa Ward
Bách Khoa Ward is an urban administrative ward in Hanoi, Vietnam, known for hosting major universities and research institutions.
-
D.
Monument ward
Monument ward is an electoral ward in central Newcastle upon Tyne, England, encompassing part of the city’s main commercial and historic core.
-
E.
Schoolhill
Schoolhill is a central street in Aberdeen, Scotland, known for housing prominent cultural institutions such as the Aberdeen Art Gallery.
- 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: Trường Thi Ward Triple: [Vinh, hasAdministrativeDivision, Trường Thi Ward]
Generated description
Trường Thi 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: Trường Thi Ward Target entity description: Trường Thi Ward is an urban administrative subdivision of the city of Vinh in Nghệ An Province, Vietnam.
-
A.
Whau Ward
Whau Ward is a local government area within Auckland, New Zealand, that encompasses suburbs such as New Lynn and is represented on the Auckland Council.
-
B.
Trung Văn Ward
Trung Văn Ward is an administrative subdivision of Hanoi, Vietnam, located within the urban Nam Từ Liêm District.
-
C.
Bách Khoa Ward
Bách Khoa Ward is an urban administrative ward in Hanoi, Vietnam, known for hosting major universities and research institutions.
-
D.
Monument ward
Monument ward is an electoral ward in central Newcastle upon Tyne, England, encompassing part of the city’s main commercial and historic core.
-
E.
Schoolhill
Schoolhill is a central street in Aberdeen, Scotland, known for housing prominent cultural institutions such as the Aberdeen Art Gallery.
- 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.