Triple
T10483344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terik |
E247226
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Tugen |
E247222
|
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: Tugen | Statement: [Terik, relatedTo, Tugen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tugen Context triple: [Terik, relatedTo, Tugen]
-
A.
Tugen
chosen
Tugen is a Southern Nilotic language spoken primarily by the Tugen people of Kenya’s Rift Valley region.
-
B.
Tengatangi
Tengatangi is a small village settlement located on the island of Atiu in the Cook Islands.
-
C.
Tora
Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
-
D.
Tora
Tora is a district in southern Cairo, Egypt, known historically for its limestone quarries and for housing several major prisons.
-
E.
Taygi
Taygi is a lesser-known Samoyedic language of the Uralic family traditionally spoken by an indigenous group in northern Siberia.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509678ac88190984f18a2162e2dcf |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90dc44d7881908391487275b845bf |
completed | April 10, 2026, 2:48 p.m. |
Created at: April 6, 2026, 12:22 p.m.