Triple
T37575519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tum |
E934807
|
entity |
| Predicate | isBantuLanguageCode |
P188296
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [tum, isBantuLanguageCode, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBantuLanguageCode Context triple: [tum, isBantuLanguageCode, true]
-
A.
isBantuGroupOf
Indicates that one entity is a subgroup, member group, or constituent group within a larger Bantu group represented by the other entity.
-
B.
isPapuanLanguage
Indicates that a language belongs to the group of Papuan languages, typically indigenous to New Guinea and surrounding regions.
-
C.
isIndigenousLanguageNameOf
Indicates that a given name is the name of a language as expressed in an indigenous language.
-
D.
isLanguageOf
Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
-
E.
hasPrimaryLanguageSubbranch
Indicates that one language subbranch is the main or principal subbranch associated with a given language or language 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_69f76ecd99148190be327e391a70f5b6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba61dff5081909fec88a7aeb0c8a1 |
completed | May 6, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69fba350e9a8819095893229d9643572 |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba61d2214819091ae6793bfefb1f0 |
completed | May 6, 2026, 8:35 p.m. |
Created at: May 3, 2026, 4:17 p.m.