Triple
T3511413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diegueño |
E74202
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object | Tipai |
E73018
|
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: Tipai | Statement: [Diegueño, hasDialect, Tipai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tipai Context triple: [Diegueño, hasDialect, 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.
Tayasan
Tayasan is a coastal municipality in the province of Negros Oriental in the Philippines, known for its rural communities and agricultural economy.
-
C.
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.
-
D.
Tai
Tai is an ethnic subgroup of the Ogoni people in Nigeria, known for its distinct cultural identity within the broader Ogoni community.
-
E.
Patigi
Patigi is a town and local government area in central Nigeria known for its Nupe cultural heritage and proximity to the River Niger.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc0f6cf8819098a1ec8693cc50e7 |
completed | March 8, 2026, 6:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e7366e4819099b4a411343bdd90 |
completed | March 13, 2026, 3:03 a.m. |
Created at: March 8, 2026, 3:19 p.m.