Triple
T6318685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bethel, Alaska |
E141679
|
entity |
| Predicate | populationRankInRuralAlaska |
P70029
|
FINISHED |
| Object | one of the largest |
—
|
LITERAL 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: one of the largest | Statement: [Bethel, Alaska, populationRankInRuralAlaska, one of the largest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankInRuralAlaska Context triple: [Bethel, Alaska, populationRankInRuralAlaska, one of the largest]
-
A.
rankInAlaskaByLength
Indicates the position of something in an ordered list of items in Alaska when sorted by their length.
-
B.
areaRankInUS
Indicates the relative position of an entity in a ranking of areas within the United States, based on its size.
-
C.
countyRank
Indicates the relative position or standing of a county within a larger ordered set, typically based on some quantitative measure such as size, population, or performance.
-
D.
populationRankInHawaii
Indicates the relative position of an entity in terms of population size compared to other entities within Hawaii.
-
E.
areaRank
Indicates the relative ordering or position of an entity based on the size of its area compared to others.
- F. None of above. chosen
Provenance (4 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064c38fe48190a71a4e5e1af19b10 |
completed | March 22, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69c060e5efc48190861b8266e5b0cc0c |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623bb29081908bfdfb84a07ece90 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:29 p.m.