Triple
T17813975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diegueño peoples |
E444787
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Tipai |
—
|
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: Tipai | Statement: [Diegueño peoples, hasPart, Tipai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tipai Context triple: [Diegueño peoples, hasPart, Tipai]
-
A.
Tipai
chosen
Tipai is a Yuman language variety traditionally spoken by the Tipai people of northern Baja California and southern California, closely related to other Kumeyaay dialects.
-
B.
Taikse
Taikse is a small village located in Järva County in central Estonia.
-
C.
Tayasan
Tayasan is a coastal municipality in the province of Negros Oriental in the Philippines, known for its rural communities and agricultural economy.
-
D.
Tapiau
Tapiau is a historic town in former East Prussia (now Gvardeysk in Russia’s Kaliningrad Oblast) known for its medieval origins and Teutonic Order connections.
-
E.
Tai
Tai is a major language family of Southeast Asia that includes languages such as Thai and Lao, spoken by tens of millions of people across the region.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4887d6828819085face29cb03671b |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 10, 2026, 10:14 a.m.