Triple
T29263564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kangxi Atlas |
E741913
|
entity |
| Predicate | accuracyComparedToPredecessors |
P82043
|
FINISHED |
| Object | higher positional accuracy |
—
|
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: higher positional accuracy | Statement: [Kangxi Atlas, accuracyComparedToPredecessors, higher positional accuracy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accuracyComparedToPredecessors Context triple: [Kangxi Atlas, accuracyComparedToPredecessors, higher positional accuracy]
-
A.
technologyLevelComparedToPredecessor
Indicates how the technology level of an entity compares to that of its immediate predecessor.
-
B.
comparedToPredecessor
chosen
Indicates that something is being evaluated or measured in relation to the thing that came immediately before it.
-
C.
massComparedToPredecessor
Indicates that an entity’s mass is being compared to the mass of its immediate predecessor, typically expressing how it has increased, decreased, or remained the same.
-
D.
typicalEfficiencyComparedToPredecessor
Indicates how the usual or average efficiency of something compares to that of its predecessor.
-
E.
accuracyComparedToModern
Indicates how the accuracy of something compares relative to that of a modern counterpart or standard.
- 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_69f0912065c08190bddd23e20e8ef18e |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f664dd47488190946f9a3f9c4a7d24 |
completed | May 2, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f660f2e3708190ab658652bcfc04d0 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 12:43 p.m.