Triple
T13377172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coracholan |
E319216
|
entity |
| Predicate | hasNeighboringLanguageFamily |
P38997
|
FINISHED |
| Object | Tepiman |
E320996
|
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: Tepiman | Statement: [Coracholan, hasNeighboringLanguageFamily, Tepiman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tepiman Context triple: [Coracholan, hasNeighboringLanguageFamily, Tepiman]
-
A.
Tepiman
chosen
Tepiman is a subgroup of Uto-Aztecan languages spoken primarily in the southwestern United States and northern Mexico, including languages such as O'odham and Tepehuán.
-
B.
Tepi
Tepi is a town in southwestern Ethiopia known for its coffee production and location within a lush, forested region.
-
C.
Entemena
Entemena was an early dynastic Sumerian ruler of the city-state of Lagash, known for consolidating its power and commissioning some of the earliest known royal inscriptions.
-
D.
The Turim
The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
-
E.
Toyapakeh
Toyapakeh is a renowned dive site off Nusa Penida in Bali, Indonesia, known for its rich coral reefs, clear waters, and diverse marine life including manta rays and mola mola.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce3fec48190a5443d87c85477a3 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f726893a8c8190b26b5f7c7fb96f1f |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:33 p.m.