Triple
T45424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alaska |
E890
|
entity |
| Predicate | ISOCode |
P208
|
FINISHED |
| Object | US-AK |
E890
|
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: US-AK | Statement: [Alaska, ISOCode, US-AK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: US-AK Context triple: [Alaska, ISOCode, US-AK]
-
A.
Alaska
chosen
Alaska is the largest and one of the most sparsely populated U.S. states, known for its vast wilderness, Arctic and sub-Arctic climate, abundant natural resources, and rich Indigenous cultures.
-
B.
Arizona
Arizona is a southwestern U.S. state known for its desert climate, the Grand Canyon, and major cities like Phoenix and Tucson.
-
C.
Nevada
Nevada is a western U.S. state known for its vast deserts, legalized gambling, and the entertainment hub of Las Vegas.
-
D.
Texas
Texas is the second-largest U.S. state by both area and population, known for its diverse landscapes, major cities like Houston and Dallas, and significant cultural and economic influence.
-
E.
Hawaii
Hawaii is a U.S. state in the central Pacific Ocean known for its volcanic islands, tropical climate, and rich Native Hawaiian culture.
- 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24af153b08190b0875b86d591d473 |
completed | Feb. 28, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a266e4c58c81909c75fea51ae16b48 |
completed | Feb. 28, 2026, 3:54 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.