Triple
T19376533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 贺 |
E484682
|
entity |
| Predicate | simplifiedFormOf |
P52959
|
FINISHED |
| Object | 賀 |
—
|
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: 賀 | Statement: [贺, simplifiedFormOf, 賀]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: simplifiedFormOf Context triple: [贺, simplifiedFormOf, 賀]
-
A.
simplifiedForm
chosen
Indicates that one entity is a reduced or less complex version of another, preserving essential meaning while omitting detail or complexity.
-
B.
generalizedForm
Indicates that one entity is a more abstract, generalized version or broader form of another entity.
-
C.
simplifiesEquation
Indicates that one entity performs an operation that reduces an equation to a simpler or more manageable form while preserving its equivalence.
-
D.
standardFormulation
Indicates that something is expressed or represented in a conventional, officially accepted, or commonly used form or version.
-
E.
naturalForm
Indicates that one entity is the inherent, unaltered, or original form or state of another entity.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a5cfbf48190ac60e3ffa6baa263 |
completed | April 20, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_69e4fd54f8e48190956e73dd8969164a |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:35 p.m.