Triple
T19473867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santo Domingo Pueblo |
E487192
|
entity |
| Predicate | nativeLanguage |
P151
|
FINISHED |
| Object | Keresan language |
—
|
NE NERFINISHED |
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: Keresan language | Statement: [Santo Domingo Pueblo, nativeLanguage, Keresan language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keresan language Context triple: [Santo Domingo Pueblo, nativeLanguage, Keresan language]
-
A.
Keres macrolanguage
Keres macrolanguage is a group of closely related Keresan languages spoken by the Keres Pueblo peoples of New Mexico.
-
B.
Keres language
chosen
The Keres language is a group of closely related Indigenous languages spoken by the Keresan Pueblo peoples of New Mexico.
-
C.
Kerek language
The Kerek language is an extinct Chukotko-Kamchatkan language once spoken by the Kerek people of northeastern Siberia in Russia.
-
D.
Khortha language
Khortha is an Eastern Indo-Aryan language spoken primarily in the Indian state of Jharkhand, where it serves as a major regional lingua franca among various communities.
-
E.
Keka language
Keka is an Austronesian language spoken on Rote Island in Indonesia, belonging to the Rote subgroup of languages.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633ef69508190b0d71ef663ba8977 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 10, 2026, 1:39 p.m.