Triple
T1861385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barito languages subgroup |
E34819
|
entity |
| Predicate | glottoCategory |
P33198
|
FINISHED |
| Object | Austronesian language subgroup |
—
|
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: Austronesian language subgroup | Statement: [Barito languages subgroup, glottoCategory, Austronesian language subgroup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: glottoCategory Context triple: [Barito languages subgroup, glottoCategory, Austronesian language subgroup]
-
A.
glottocode
Indicates the standardized Glottolog code that uniquely identifies the language or dialect associated with an entity.
-
B.
linguisticClassification
Indicates the relationship by which an entity is categorized according to its language or linguistic type.
-
C.
hasGlottologName
Indicates that an entity is associated with a specific name as recorded in the Glottolog linguistic database.
-
D.
linguisticArea
Indicates a regional context in which languages share features due to geographic proximity and contact rather than common genetic origin.
-
E.
linguisticSubgroup
Indicates that one linguistic group forms a subordinate or specialized subset within a larger linguistic group or 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_69a88600b2f88190bc09303e68ab517e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb16c09e48190a345c95eab59fd87 |
completed | March 7, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69abafe02c3c819093a4744b476106ca |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb16a6db48190af04012e8ed2269f |
completed | March 7, 2026, 5:02 a.m. |
Created at: March 4, 2026, 7:34 p.m.