Triple
T9693516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keresan languages |
E234592
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Eastern Keres |
E486072
|
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: Eastern Keres | Statement: [Keresan languages, hasPart, Eastern Keres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eastern Keres Context triple: [Keresan languages, hasPart, Eastern Keres]
-
A.
Eastern Keres
chosen
Eastern Keres is a Keresan Puebloan language traditionally spoken by Native American communities in central New Mexico.
-
B.
Western Keres
Western Keres is a Keresan Puebloan language spoken by the Keres people of western New Mexico.
-
C.
Keteyian
Keteyian is the surname of Armen Keteyian, an American television journalist and author known for his investigative sports reporting.
-
D.
Kiserian
Kiserian is a rapidly growing town in Kenya’s Kajiado County, situated just southwest of Nairobi and known as a residential and trading hub for the surrounding Maasai pastoral communities.
-
E.
Kabiye
Kabiye is a Gur language spoken primarily in northern Togo and recognized as one of the country's major national languages.
- 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d0727908190897894151c0ee7c2 |
completed | April 1, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1911d33f081908637cbf4c1949bcd |
completed | April 4, 2026, 10:30 p.m. |
Created at: March 30, 2026, 8:17 p.m.