Triple
T16184521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burusho people |
E392764
|
entity |
| Predicate | linguisticStudies |
P122050
|
FINISHED |
| Object | subject of Burushaski language research |
—
|
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: subject of Burushaski language research | Statement: [Burusho people, linguisticStudies, subject of Burushaski language research]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linguisticStudies Context triple: [Burusho people, linguisticStudies, subject of Burushaski language research]
-
A.
linguisticField
Indicates that something pertains to or is associated with a particular area or subdiscipline within linguistics.
-
B.
hasLinguisticTypology
Indicates a relationship where a language or linguistic system is characterized by a specific typological classification or structural type.
-
C.
historicalLinguistics
Indicates the study of how languages change over time and the relationships between earlier and later language forms.
-
D.
linguisticContribution
Indicates that one entity provides or constitutes a meaningful addition to language use, such as information, expression, or structure, within a communicative context.
-
E.
linguisticClassification
Indicates the relationship by which an entity is categorized according to its language or linguistic type.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205fc080819097858f36253fef7c |
completed | April 17, 2026, 11:58 a.m. |
| PD | Predicate disambiguation | batch_69e219d642708190ba31a90dce76a210 |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:02 a.m.