Triple
T3849176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burushaski |
E85247
|
entity |
| Predicate | hasNotableGrammarWork |
P51920
|
FINISHED |
| Object | Hermann Berger’s Burushaski grammar |
—
|
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: Hermann Berger’s Burushaski grammar | Statement: [Burushaski, hasNotableGrammarWork, Hermann Berger’s Burushaski grammar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableGrammarWork Context triple: [Burushaski, hasNotableGrammarWork, Hermann Berger’s Burushaski grammar]
-
A.
hasInfluentialGrammarian
Indicates that an entity is associated with, or characterized by, a grammarian who has significant influence or authority in matters of grammar.
-
B.
hasGrammar
Indicates that an entity possesses, follows, or is associated with a particular system of grammatical rules or structure.
-
C.
hasNotableWorkSetThere
Indicates that a notable work (such as a book, film, or other creative piece) is set in or takes place within the referenced location.
-
D.
hasNotableMusicWork
Indicates that an entity is associated with a significant or well-known musical work, such as a composition, recording, or performance.
-
E.
hasLinguist
Indicates that an entity is associated with or possesses a linguist, typically as a member, employee, collaborator, or resource.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeebcde86081908cf3840ae002acfa |
completed | March 9, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69aee750377c8190af70c79768c0edd8 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aee8d9b328819080158be59e5bcc97 |
completed | March 9, 2026, 3:35 p.m. |
Created at: March 9, 2026, 3:19 p.m.