Triple
T2346722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yap State |
E45147
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Sorol |
E206908
|
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: Sorol | Statement: [Yap State, hasPart, Sorol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sorol Context triple: [Yap State, hasPart, Sorol]
-
A.
Bulganin
Bulganin is the surname of Nikolai Bulganin, a prominent Soviet politician who served as Premier of the Soviet Union during the 1950s.
-
B.
Sorol Trough
chosen
Sorol Trough is a deep-sea geological depression in the western Pacific Ocean associated with the tectonic setting of the Caroline Plate.
-
C.
Ulanqab
Ulanqab is a prefecture-level city in central Inner Mongolia, China, known for its grassland landscapes, agriculture, and strategic position as a transportation hub.
-
D.
Pishpek
Pishpek, now known as Bishkek, is the capital and largest city of Kyrgyzstan in Central Asia.
-
E.
Syukuro
Syukuro is the given name of Syukuro Manabe, a pioneering climatologist known for his foundational work on climate modeling and global warming.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6c9396081908abb2b0a229bb046 |
completed | March 7, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae9629f4908190ba3c51b7d12be4e4 |
completed | March 9, 2026, 9:43 a.m. |
Created at: March 4, 2026, 7:52 p.m.