Triple
T13340526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard III’s royal army |
E317811
|
entity |
| Predicate | nominalStrength |
P2981
|
FINISHED |
| Object | around 10,000 men |
—
|
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: around 10,000 men | Statement: [Richard III’s royal army, nominalStrength, around 10,000 men]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nominalStrength Context triple: [Richard III’s royal army, nominalStrength, around 10,000 men]
-
A.
nominalStatus
Indicates that an entity holds a particular title, label, or status in name or designation, without necessarily implying associated functions or actions.
-
B.
estimatedStrength
chosen
Indicates that a value represents an approximate or inferred level, magnitude, or intensity of something rather than a precisely measured strength.
-
C.
statCategoryStrength
Indicates a relationship where an entity’s strength-related statistics or attributes are being specified, categorized, or measured.
-
D.
strengthensFrom
Indicates that one entity becomes stronger, more effective, or more intense as a result of influence, support, or input from another entity.
-
E.
nominalGamma
Indicates that something functions as a nominal element (e.g., noun-like role) within a grammatical or logical structure.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99d0379d481909a50fff31b19fed1 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6e53d88190bd6aa42f69b10ffb |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:31 p.m.