Triple
T29256486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhong Hui's forces |
E741716
|
entity |
| Predicate | allegedSize |
P178047
|
FINISHED |
| Object | large field army of Wei in the Shu campaign |
—
|
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: large field army of Wei in the Shu campaign | Statement: [Zhong Hui's forces, allegedSize, large field army of Wei in the Shu campaign]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allegedSize Context triple: [Zhong Hui's forces, allegedSize, large field army of Wei in the Shu campaign]
-
A.
desiredSizeIndicates
Indicates that one entity specifies or reflects the preferred or intended size of another entity.
-
B.
sizeRequired
Indicates that a particular size or dimension is needed or must be met for something to be suitable, valid, or functional.
-
C.
bodySize
Indicates the relative physical magnitude or scale of an entity’s body, such as how large or small it is.
-
D.
librarySizeApprox
Indicates that the size of a library (e.g., number of items, capacity, or volume) is known or treated as an approximate value rather than an exact measurement.
-
E.
approximateSize
Indicates that one entity has a size that is roughly or approximately equal to the size of another entity.
- F. None of above. chosen
Provenance (4 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_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f707f380388190954b79d52a321921 |
completed | May 3, 2026, 8:31 a.m. |
Created at: April 28, 2026, 12:38 p.m.