Triple
T19429567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Keres |
E486073
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Laguna Keres |
—
|
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: Laguna Keres | Statement: [Western Keres, hasDialect, Laguna Keres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laguna Keres Context triple: [Western Keres, hasDialect, Laguna Keres]
-
A.
Laguna Keres
chosen
Laguna Keres is a Keresan language variety traditionally spoken by the Laguna Pueblo people of New Mexico.
-
B.
Laguna Parón
Laguna Parón is a high-altitude turquoise glacial lake in Peru’s Cordillera Blanca, renowned for its dramatic mountain scenery and popular trekking routes.
-
C.
Laguna Ten Bosch
Laguna Ten Bosch is a seaside resort and theme park complex in Japan known for its attractions, shopping, hot springs, and seasonal illumination events.
-
D.
Laguna Sacnab
Laguna Sacnab is a lake within Guatemala’s Yaxhá-Nakúm-Naranjo National Park, known for its surrounding Maya archaeological sites and biodiverse tropical forest.
-
E.
Laguna Salada
Laguna Salada is a large dry lakebed and desert basin in northern Baja California, Mexico, known for its extreme aridity and below-sea-level elevation.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6321b78d08190b86cef7c60cbb61c |
completed | April 20, 2026, 2:03 p.m. |
Created at: April 10, 2026, 1:37 p.m.