Triple
T6625025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M-o-n-t-g-o-m-e-r-y |
E149775
|
entity |
| Predicate | hasSpellingStyle |
P1609
|
FINISHED |
| Object | hyphenated |
—
|
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: hyphenated | Statement: [M-o-n-t-g-o-m-e-r-y, hasSpellingStyle, hyphenated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpellingStyle Context triple: [M-o-n-t-g-o-m-e-r-y, hasSpellingStyle, hyphenated]
-
A.
hasTypicalSpelling
Indicates that one form is the standard or commonly accepted spelling of another form.
-
B.
hasVariantSpelling
Indicates that one term is an alternative spelling form of another term.
-
C.
spellingStability
Indicates the degree to which the spelling of a word or term remains consistent over time or across different uses.
-
D.
usesFixedSpellingsForCommonSyllables
Indicates that an entity consistently applies predetermined, standard spellings for frequently occurring syllables.
-
E.
hasStyle
chosen
Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
- 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6bdb88cc881908f35648c15a7dc85 |
completed | March 27, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69c6ad007c1c8190af425f51011c7ad1 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:58 p.m.