Triple
T11675008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Day of the People’s Republic of China |
E277468
|
entity |
| Predicate | dateObservedStartYear |
P10338
|
FINISHED |
| Object | 1949 |
—
|
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: 1949 | Statement: [National Day of the People’s Republic of China, dateObservedStartYear, 1949]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateObservedStartYear Context triple: [National Day of the People’s Republic of China, dateObservedStartYear, 1949]
-
A.
startYearOfCommonObservance
Indicates the year in which a particular observance, practice, or recognition began to be commonly or widely observed.
-
B.
dateObserved
Indicates the specific date on which an event, condition, or measurement was recorded or observed.
-
C.
startDateInYear
Indicates that an entity’s start date occurs within a specified calendar year.
-
D.
beganInYear
chosen
Indicates that an event, process, or state started in a specific calendar year.
-
E.
wasFirstObservedIn
Indicates that an entity was initially noticed, recorded, or detected at a particular time or place.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a44504c48190b519765a83ff9c5e |
completed | April 10, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69d88a77e6e88190b7519100bde76575 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.