Triple
T4289464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gash-Barka |
E97352
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Barentu |
E429515
|
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: Barentu | Statement: [Gash-Barka, largestCity, Barentu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barentu Context triple: [Gash-Barka, largestCity, Barentu]
-
A.
Barentu
chosen
Barentu is a town in western Eritrea that serves as an important regional center in the Gash-Barka administrative region.
-
B.
Naukan
Naukan is a former indigenous Yupik settlement located at the easternmost point of the Chukotka Peninsula in Russia, near the Bering Strait.
-
C.
Lomonosovo
Lomonosovo is a rural locality in Russia’s Arkhangelsk Oblast, best known as the birthplace of the polymath Mikhail Lomonosov.
-
D.
Borðoy
Borðoy is one of the main islands of the Faroe Islands, known for its rugged landscapes and the town of Klaksvík, the country’s second-largest settlement.
-
E.
Olonkinbyen
Olonkinbyen is the small Norwegian research and military station that serves as the only inhabited settlement on the remote Arctic island of Jan Mayen.
- 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_69b3454595848190a0e6bbb6a2bea040 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35061f5448190b3356b29a9129160 |
completed | March 12, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d06ccbf081908bc23b5f194b9587 |
completed | March 14, 2026, 9:17 p.m. |
Created at: March 12, 2026, 11:08 p.m.