Triple
T21473078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emira |
E529779
|
entity |
| Predicate | hasAlternateName |
P39
|
FINISHED |
| Object | Mussau |
—
|
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: Mussau | Statement: [Emira, hasAlternateName, Mussau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mussau Context triple: [Emira, hasAlternateName, Mussau]
-
A.
Mussau
chosen
Mussau is an island in Papua New Guinea’s Bismarck Archipelago, known for its distinct Oceanic languages and rich Melanesian-Polynesian cultural heritage.
-
B.
Vorontsovskaya
Vorontsovskaya is a metro station on Moscow’s Big Circle Line serving the southwestern part of the city.
-
C.
Novorybnaya
Novorybnaya is a small rural settlement located along the Khatanga River in the remote Arctic region of northern Siberia, Russia.
-
D.
Lomonosovo
Lomonosovo is a rural locality in Russia’s Arkhangelsk Oblast, best known as the birthplace of the polymath Mikhail Lomonosov.
-
E.
Polevskoy
Polevskoy is an industrial town in Russia’s Ural region, historically associated with copper mining and metallurgy.
- 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_69e0c459acb481909bb6ee452a0045c7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea156dac819087c4594d022d3df6 |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:19 p.m.