Triple
T36128583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | “八一”军旗 |
E1044951
|
entity |
| Predicate | 相关对象 |
P37
|
FINISHED |
| Object | 中国人民解放军军徽 |
—
|
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: 中国人民解放军军徽 | Statement: [“八一”军旗, 相关对象, 中国人民解放军军徽]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 相关对象 Context triple: [“八一”军旗, 相关对象, 中国人民解放军军徽]
-
A.
linkedToObject
Indicates that one entity is connected or associated with another entity in some meaningful way.
-
B.
subjectRelation
Indicates that one entity stands in a specified relational role or connection to another entity.
-
C.
associatedWithSubject
Indicates a general relationship or connection between an entity and a subject, without specifying the exact nature of that association.
-
D.
usesReferenceObjects
Indicates that an entity performs an action or makes a determination by relying on one or more other entities as reference points or benchmarks.
-
E.
relatedTo
chosen
Indicates a general, non-specific relationship or association exists between two entities.
- 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_69f76e356c908190abc6ca1e6a05b011 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b3e2f3c08190be4fd1ae4fa1266d |
completed | May 3, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bcc47081909fe7d592ac69006c |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.