Triple
T23660125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unalaska |
E584419
|
entity |
| Predicate | economicRank |
P148491
|
FINISHED |
| Object | one of the top U.S. fishing ports by volume |
—
|
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 top U.S. fishing ports by volume | Statement: [Unalaska, economicRank, one of the top U.S. fishing ports by volume]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: economicRank Context triple: [Unalaska, economicRank, one of the top U.S. fishing ports by volume]
-
A.
wealthRanking
Indicates the relative ordering of entities based on their level of wealth or financial resources.
-
B.
industryRanking
chosen
Indicates the relative position or standing of an entity within its industry based on specified performance or comparison criteria.
-
C.
economicRankInCanada
Indicates the relative economic standing or ranking of an entity within the context of Canada’s economy.
-
D.
coalRank
Indicates the classification of coal based on its degree of metamorphism, quality, and carbon content.
-
E.
standardOfLivingRank
Indicates the relative position or ranking of an entity based on its standard of living compared to others.
- F. None of above.
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_69e248ffc0888190ae23c4731eb8b7ac |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b35f03448190834991c2a65ef0e4 |
completed | April 29, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69f118d7903c8190bb590a71771e93af |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:50 p.m.