Triple
T26096489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Mead |
E658281
|
entity |
| Predicate | studiesLanguageSubgroup |
P65737
|
FINISHED |
| Object | Celebic languages |
—
|
NE NERFINISHED |
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: Celebic languages | Statement: [David Mead, studiesLanguageSubgroup, Celebic languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studiesLanguageSubgroup Context triple: [David Mead, studiesLanguageSubgroup, Celebic languages]
-
A.
linguisticSubgroup
Indicates that one linguistic group forms a subordinate or specialized subset within a larger linguistic group or family.
-
B.
studiesLanguageFamily
chosen
Indicates that an entity engages in the academic or systematic study of a particular language family.
-
C.
usesLanguageSubfamily
Indicates that one entity communicates or operates using a language that belongs to a specified language subfamily.
-
D.
inLanguageFamily
Indicates that two languages belong to the same linguistic family or classification.
-
E.
studiesDialectOf
Indicates that one entity engages in the academic or systematic study of a particular dialect associated with another entity.
- 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_69ee5bbfc4d08190a1b206d0ac3a1e8d |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 26, 2026, 7:51 p.m.