Triple
T24927132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cranberry Lake, New York |
E618887
|
entity |
| Predicate | lakeRankInState |
P130498
|
FINISHED |
| Object | one of the largest lakes in New York State |
—
|
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 lakes in New York State | Statement: [Cranberry Lake, New York, lakeRankInState, one of the largest lakes in New York State]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lakeRankInState Context triple: [Cranberry Lake, New York, lakeRankInState, one of the largest lakes in New York State]
-
A.
lakeRankContext
chosen
Indicates the contextual ranking or relative standing of a lake within a specified comparison set or criteria.
-
B.
areaRankInUS
Indicates the relative position of an entity in a ranking of areas within the United States, based on its size.
-
C.
stateRank
Indicates the relative position or standing of an entity within a specific state-level ordering or hierarchy.
-
D.
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.
-
E.
nationalRank
Indicates the position or standing of an entity within a ranking system at the national level.
- 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_69e2fab9edd88190b86004a78a28bc20 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f47b865df48190bf4b6d3e9f9305e6 |
completed | May 1, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69f4682c8a3c8190adbfaac99474eaaf |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 18, 2026, 5:29 a.m.