Triple
T17652081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tesseney |
E429516
|
entity |
| Predicate | roadConnection |
P385
|
FINISHED |
| Object | Barentu |
—
|
NE NERFINISHED |
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: [Tesseney, roadConnection, Barentu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barentu Context triple: [Tesseney, roadConnection, 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.
Barentin
Barentin is a commune in the Normandy region of northern France, known historically for its textile industry and proximity to the city of Rouen.
-
C.
Naukan
Naukan is a former indigenous Yupik settlement located at the easternmost point of the Chukotka Peninsula in Russia, near the Bering Strait.
-
D.
Norrort
Norrort is the collective name for the northern suburbs of Stockholm, Sweden, located north of the city center and commonly contrasted with the southern area known as Söderort.
-
E.
Lomonosovo
Lomonosovo is a rural locality in Russia’s Arkhangelsk Oblast, best known as the birthplace of the polymath Mikhail Lomonosov.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e3e0ae481908382570f802d8144 |
completed | April 19, 2026, 5:55 a.m. |
Created at: April 10, 2026, 6:05 a.m.