Triple
T21749287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanwix Melville |
E536868
|
entity |
| Predicate | languageOfFamilyCorrespondence |
P145222
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Stanwix Melville, languageOfFamilyCorrespondence, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfFamilyCorrespondence Context triple: [Stanwix Melville, languageOfFamilyCorrespondence, English]
-
A.
languageOfFamily
Indicates the language or languages commonly used or associated with a particular family.
-
B.
languageFamilyAssociated
Indicates that there is an association or connection between a language and a particular language family.
-
C.
languageFamilyOf
Indicates that one entity is the language family to which the other entity (a specific language) belongs.
-
D.
languageFamilyOfWork
Indicates that a work belongs to or is classified under a particular language family.
-
E.
usesLanguageFamily
Indicates that an entity communicates or operates using a language that belongs to a specified language family.
- F. None of above. chosen
Provenance (4 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a78bd908190b74e26ab1cc8788f |
completed | April 28, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69f3ed4408190a4a78410bf660c44 |
completed | April 20, 2026, 9:48 p.m. |
Created at: April 16, 2026, 6:50 p.m.