Triple
T25405773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bantu zone P |
E636550
|
entity |
| Predicate | hasGlottologType |
P155999
|
FINISHED |
| Object | dialect cluster |
—
|
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: dialect cluster | Statement: [Bantu zone P, hasGlottologType, dialect cluster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGlottologType Context triple: [Bantu zone P, hasGlottologType, dialect cluster]
-
A.
hasGlottologEntryType
chosen
Indicates that a glottolog entry is classified as having a specific type or category within the Glottolog database.
-
B.
hasGlottologEntry
Indicates that there exists a corresponding entry for the entity in the Glottolog linguistic database.
-
C.
hasGlottologName
Indicates that an entity is associated with a specific name as recorded in the Glottolog linguistic database.
-
D.
hasGlottologReference
Indicates that an entity is associated with a specific reference entry in the Glottolog linguistic database.
-
E.
hasLinguisticTypology
Indicates a relationship where a language or linguistic system is characterized by a specific typological classification or structural type.
- 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_69e75db361d881908d8701c856da6413 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5850091e88190a6fbb9b2c33f46ed |
completed | May 2, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69f45d0dbc8c8190beecce679fce90a4 |
completed | May 1, 2026, 7:58 a.m. |
Created at: April 21, 2026, 1:52 p.m.