Triple
T14701823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nangere |
E345321
|
entity |
| Predicate | sharesBorderWith |
P224
|
FINISHED |
| Object | Tarmuwa |
E345322
|
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: Tarmuwa | Statement: [Nangere, sharesBorderWith, Tarmuwa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarmuwa Context triple: [Nangere, sharesBorderWith, Tarmuwa]
-
A.
Tarmuwa
chosen
Tarmuwa is a local government area in northeastern Nigeria known for its predominantly rural communities within Yobe State.
-
B.
Mekeyir
Mekeyir is an alternative name for the Shabo language, a little-documented and endangered language spoken in southwestern Ethiopia.
-
C.
Tayshet
Tayshet is a town in Irkutsk Oblast, Russia, known as a major railway junction in Siberia.
-
D.
Tamahaq
Tamahaq is a Berber (Amazigh) language traditionally spoken by the Tuareg people of the central Sahara.
-
E.
Merefa
Merefa is a small city in northeastern Ukraine located near Kharkiv, known for its industrial facilities and role as a local transport hub.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb605f5948190ab6b20887c4b6833 |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0861c308190af0b5da403ecb321 |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:28 a.m.