Triple
T38354604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of the People's Liberation Army |
E1046290
|
entity |
| Predicate | fieldSymbol |
P53520
|
FINISHED |
| Object | golden star and "八一" characters |
—
|
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: golden star and "八一" characters | Statement: [Flag of the People's Liberation Army, fieldSymbol, golden star and "八一" characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldSymbol Context triple: [Flag of the People's Liberation Army, fieldSymbol, golden star and "八一" characters]
-
A.
fieldNamedFor
Indicates that a particular field (such as a sports field or open area) bears the name of a specified person, group, or entity in their honor.
-
B.
fieldRepresents
chosen
Indicates that one field or attribute stands for, encodes, or symbolizes another concept, value, or entity.
-
C.
symbolForField
Indicates that one entity serves as the symbolic representation or notation used to denote a particular field in another entity.
-
D.
field4Represents
Indicates that the fourth field in a structured record encodes or stands for a particular value, concept, or attribute rather than containing a literal or direct value.
-
E.
fieldSyntax
Indicates a relationship where one entity specifies or defines the syntactic structure or formatting rules that another field or data element must follow.
- 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_69f76e3a94fc81908edc175e8d259e80 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:31 p.m.