Triple
T25215354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commonwealth Short Story Prize |
E631812
|
entity |
| Predicate | wordLimit |
P7605
|
FINISHED |
| Object | 2000–5000 words |
—
|
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: 2000–5000 words | Statement: [Commonwealth Short Story Prize, wordLimit, 2000–5000 words]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wordLimit Context triple: [Commonwealth Short Story Prize, wordLimit, 2000–5000 words]
-
A.
wordLength
Indicates that there is a relationship specifying the number of characters (length) in a given word.
-
B.
wordCount
chosen
Indicates the total number of words contained in a given text or linguistic unit.
-
C.
definesLimitOf
Indicates that one entity specifies or establishes the maximum or boundary condition applicable to another entity.
-
D.
sentenceLength
Indicates the length or number of units (such as characters, words, or tokens) that a given sentence contains.
-
E.
fileNameLimit
Indicates a constraint or maximum allowed length or format for a file’s name in a given context.
- 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_69e75a8d1aa48190a4320acd3654762c |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f47b8bd25c819089de15eac12cd285 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f44d849e7c81909945438f40e35362 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 12:58 p.m.