Triple
T11871322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chángzhēng |
E282412
|
entity |
| Predicate | isUsedInHistoricalWriting |
P16500
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Chángzhēng, isUsedInHistoricalWriting, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUsedInHistoricalWriting Context triple: [Chángzhēng, isUsedInHistoricalWriting, yes]
-
A.
hasHistoriographicalUse
chosen
Indicates that something is used or cited within historical writing or analysis as part of constructing, interpreting, or debating historical narratives.
-
B.
attestedInWriting
Indicates that the relationship or fact is documented or confirmed in written form, such as in texts, records, or inscriptions.
-
C.
hasWritingTraditionSince
Indicates that a writing tradition has been present or established for an entity starting from a specified point in time.
-
D.
hasHistoricalWritingInfluenceFrom
Indicates that one entity’s historical writing style, content, or traditions are influenced by those of another entity.
-
E.
hasWritingTraditionVia
Indicates that an entity possesses or participates in a writing tradition by means of, or through the mediation of, another specified entity or method.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d39d2934819093b9f7006f45e5cb |
completed | April 10, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69d8bb272f88819090c37c944c5a60ab |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:43 p.m.