Triple
T17770686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chichagof Island |
E443627
|
entity |
| Predicate | rankingByAreaInUnitedStatesIslands |
P85070
|
FINISHED |
| Object | fifth 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: fifth largest | Statement: [Chichagof Island, rankingByAreaInUnitedStatesIslands, fifth largest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankingByAreaInUnitedStatesIslands Context triple: [Chichagof Island, rankingByAreaInUnitedStatesIslands, fifth largest]
-
A.
rankingBySizeUSIslands
chosen
Indicates the relative order of U.S. islands based on their size, from largest to smallest (or vice versa).
-
B.
rankByAreaInCanadaIslands
Indicates the numerical position of an island in Canada when all Canadian islands are ordered by their land area from largest to smallest.
-
C.
areaRankInUS
Indicates the relative position of an entity in a ranking of areas within the United States, based on its size.
-
D.
areaRankInStateByLandArea
Indicates the relative position of an entity within its state when all entities are ordered by their land area, from largest to smallest.
-
E.
populationRankInHawaii
Indicates the relative position of an entity in terms of population size compared to other entities within Hawaii.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485ff928481909fe32260ba57978f |
completed | April 19, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69e3d8d8e538819084f1584426b41d5e |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:11 a.m.