Triple
T17750628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Losar |
E443101
|
entity |
| Predicate | roadAccessFrom |
P22549
|
FINISHED |
| Object | Kaza |
—
|
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: Kaza | Statement: [Losar, roadAccessFrom, Kaza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaza Context triple: [Losar, roadAccessFrom, Kaza]
-
A.
Kaza
chosen
Kaza is a remote town in the Spiti Valley of Himachal Pradesh, India, serving as an important administrative and travel hub for the surrounding high-altitude desert region.
-
B.
Kasaan
Kasaan is a small Haida village on Prince of Wales Island in southeast Alaska, known for its rich Indigenous cultural heritage and historic totem poles.
-
C.
Karzakan
Karzakan is a coastal village in Bahrain known for its traditional palm groves and historic role in the country’s agricultural and pearl-diving heritage.
-
D.
Kazaure
Kazaure is a prominent town and traditional emirate in northern Nigeria, known as one of the key urban centers of Jigawa State.
-
E.
Kasaavin
Kasaavin are a mysterious, energy-based alien species from the Doctor Who universe known for their ability to phase through matter and manipulate technology while serving as covert antagonists.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4841a401c8190ae1dc0ed7ae4cc26 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 10:10 a.m.