Triple
T21783261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NOAD |
E537769
|
entity |
| Predicate | lexicalFocus |
P24083
|
FINISHED |
| Object | American spellings |
—
|
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: American spellings | Statement: [NOAD, lexicalFocus, American spellings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lexicalFocus Context triple: [NOAD, lexicalFocus, American spellings]
-
A.
lexicalItem
Indicates that one entity is a word or vocabulary unit associated with, or used to express, another entity (such as a concept, meaning, or linguistic entry).
-
B.
languageTerm
chosen
Indicates that one entity is a linguistic expression (word, phrase, or term) used to denote or label the other entity.
-
C.
lexicalChange
Indicates a relationship where one linguistic form is replaced, modified, or evolves into another form over time or across language varieties.
-
D.
lexicalEvidence
Indicates that there is supporting information or justification for something based specifically on the form, structure, or usage of words in a language.
-
E.
lexicalResources
Indicates that one entity provides or is associated with lexical materials (such as dictionaries, vocabularies, or word lists) that support or describe 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0462ed0ec81908833e18c164e8b5c |
completed | April 28, 2026, 5:31 a.m. |
| PD | Predicate disambiguation | batch_69e6be6299988190a34c98fa76d94700 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:52 p.m.