Triple
T1939161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proclamation of Independence of the Democratic Republic of Vietnam |
E41511
|
entity |
| Predicate | readToAudience |
P9917
|
FINISHED |
| Object | crowd at Ba Đình Square |
—
|
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: crowd at Ba Đình Square | Statement: [Proclamation of Independence of the Democratic Republic of Vietnam, readToAudience, crowd at Ba Đình Square]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: readToAudience Context triple: [Proclamation of Independence of the Democratic Republic of Vietnam, readToAudience, crowd at Ba Đình Square]
-
A.
readBy
Indicates that a particular text, document, or content item has been read or consumed by a specific person or agent.
-
B.
readership
chosen
Indicates the relationship in which one party reads, follows, or is the audience for the written or published work of another.
-
C.
readout
Indicates that one entity reports, displays, or outputs the measured or computed value of another entity.
-
D.
containsReading
Indicates that one entity includes or encompasses a particular reading (such as a measurement, value, or interpretation) within it.
-
E.
hasAudienceReception
Indicates the relationship between a work or event and how it is received, perceived, or evaluated by its audience.
- F. None of above.
Provenance (3 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2c8be648190836580cec77a143f |
completed | March 7, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69abaff07cf88190b4883c5f17f90abd |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.