Triple
T17378359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ongan |
E422499
|
entity |
| Predicate | linguisticResearchInterest |
P29095
|
FINISHED |
| Object | historical linguistics |
—
|
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: historical linguistics | Statement: [Ongan, linguisticResearchInterest, historical linguistics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linguisticResearchInterest Context triple: [Ongan, linguisticResearchInterest, historical linguistics]
-
A.
linguisticStudies
Indicates that an entity engages in or is associated with the academic study or analysis of language and its structure.
-
B.
linguisticField
chosen
Indicates that something pertains to or is associated with a particular area or subdiscipline within linguistics.
-
C.
linguisticContribution
Indicates that one entity provides or constitutes a meaningful addition to language use, such as information, expression, or structure, within a communicative context.
-
D.
hasLinguisticTypology
Indicates a relationship where a language or linguistic system is characterized by a specific typological classification or structural type.
-
E.
areConsideredByOtherLinguists
Indicates that certain items, concepts, or analyses are regarded or evaluated in a particular way by linguists other than the primary or referenced one.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a840cd08190af3385388afb8c8f |
completed | April 19, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69e3b02ac8688190a7182f1b2151d721 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:45 a.m.