Triple
T27510449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Iliamna |
E694393
|
entity |
| Predicate | rankingByAreaInAlaska |
P133665
|
FINISHED |
| Object | largest lake in Alaska |
—
|
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: largest lake in Alaska | Statement: [Lake Iliamna, rankingByAreaInAlaska, largest lake in Alaska]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingByAreaInAlaska Context triple: [Lake Iliamna, rankingByAreaInAlaska, largest lake in Alaska]
-
A.
rankBySizeInAlaska
chosen
Indicates that entities are ordered according to their relative size specifically within the geographic scope of Alaska.
-
B.
populationRankInRuralAlaska
Indicates the relative position of an entity in terms of population size compared to other entities located in rural Alaska.
-
C.
populationRankInWesternAlaska
Indicates the relative position of an entity’s population size compared to other entities located in Western Alaska.
-
D.
rankInAlaskaByLength
Indicates the position of something in an ordered list of items in Alaska when sorted by their length.
-
E.
topographicProminenceRankInAlaska
Indicates the ranking position of a feature based on its topographic prominence relative to all other features in Alaska.
- 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_69ef53842afc8190ba6bd4e4999bda67 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 27, 2026, 1:15 p.m.