Triple
T21949504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tôn Đức Thắng Museum |
E542025
|
entity |
| Predicate | inauguratedAfter |
P146658
|
FINISHED |
| Object | death of Tôn Đức Thắng |
—
|
LITERAL FINISHED |
How this triple was built (2 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: death of Tôn Đức Thắng | Statement: [Tôn Đức Thắng Museum, inauguratedAfter, death of Tôn Đức Thắng]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inauguratedAfter Context triple: [Tôn Đức Thắng Museum, inauguratedAfter, death of Tôn Đức Thắng]
-
A.
inauguratedFor
Indicates that a formal ceremony or event was held to officially begin or dedicate something specifically for a particular entity, role, or purpose.
-
B.
inauguratedBefore
Indicates that one entity’s inauguration occurred earlier in time than another entity’s inauguration.
-
C.
inauguratedWith
Indicates that an event, position, or institution was formally initiated or opened through a specific ceremony, action, or accompanying element.
-
D.
inaugurationDate
Indicates the date on which an official ceremony formally installs a person into a specific office or position.
-
E.
inaugurated
Indicates that a person is formally introduced or installed into an official position, office, or role through a ceremonial event.
- F. None of above. chosen
Provenance (4 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243aed048190b4342899c83b38ec |
completed | April 28, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69e6f601f2188190893bcdde0cf58ad6 |
completed | April 21, 2026, 3:58 a.m. |
| PDg | Predicate description generation | batch_69e6fb9b75308190addc3dba7b5d5ddd |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 7:58 p.m.