Triple
T34447369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Things fall apart; the centre cannot hold" |
E884265
|
entity |
| Predicate | hasCentreSpelling |
P457
|
FINISHED |
| Object | British English spelling "centre" |
—
|
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: British English spelling "centre" | Statement: ["Things fall apart; the centre cannot hold", hasCentreSpelling, British English spelling "centre"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCentreSpelling Context triple: ["Things fall apart; the centre cannot hold", hasCentreSpelling, British English spelling "centre"]
-
A.
hasTypicalSpelling
Indicates that one form is the standard or commonly accepted spelling of another form.
-
B.
usesFixedSpellingsForCommonSyllables
Indicates that an entity consistently applies predetermined, standard spellings for frequently occurring syllables.
-
C.
hasSpellingWithAccent
Indicates that one form of a word or name is spelled using accented characters compared to another form.
-
D.
hasVariantSpelling
chosen
Indicates that one term is an alternative spelling form of another term.
-
E.
spellingIncludes
Indicates that the spelling of one entity contains, as a substring or component, the spelling 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_69f349c607688190b553539d14901a35 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 1, 2026, 2 a.m.