Triple
T11302693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voltaic languages |
E267634
|
entity |
| Predicate | hasMemberLanguage |
P7390
|
FINISHED |
| Object | Tem |
E759514
|
NE 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: Tem | Statement: [Voltaic languages, hasMemberLanguage, Tem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tem Context triple: [Voltaic languages, hasMemberLanguage, Tem]
-
A.
Tem
Tem is an ancient Egyptian creator god, often regarded as a form or aspect of Atum associated with the setting sun and the completion of creation.
-
B.
Tem
chosen
Tem is a Gur language spoken primarily in Togo and neighboring regions of West Africa.
-
C.
Ter
The Ter is a river in northeastern Catalonia, Spain, that flows through cities such as Girona before emptying into the Mediterranean Sea.
-
D.
Te
Te is the Taoist concept of inner virtue or inherent power that arises from living in harmony with the Tao.
-
E.
TM
TM is the New York Stock Exchange ticker symbol for Toyota Motor Corporation, the Japanese multinational automotive manufacturer.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a5c3788190ba54eda514b97903 |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a57366081908a05fc52c5d4074c |
completed | April 19, 2026, 5:01 p.m. |
Created at: April 8, 2026, 9:32 p.m.