Triple
T15402040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake County, Minnesota |
E368343
|
entity |
| Predicate | U.S. state FIPS code |
P227
|
FINISHED |
| Object | 27 |
—
|
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: 27 | Statement: [Lake County, Minnesota, U.S. state FIPS code, 27]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: U.S. state FIPS code Context triple: [Lake County, Minnesota, U.S. state FIPS code, 27]
-
A.
FIPSCode
chosen
Indicates the standardized Federal Information Processing Standards (FIPS) code assigned to identify a specific geographic or administrative entity.
-
B.
FIPSCountryCode
Indicates that an entity is associated with a specific country as identified by its FIPS (Federal Information Processing Standards) country code.
-
C.
federalStateCode
Indicates that an entity is associated with, governed by, or identified through a specific federal state code within a country’s administrative or legal system.
-
D.
FISCode
Indicates a standardized financial institution identifier code used to uniquely reference a specific bank or financial entity in transactions or records.
-
E.
keyUSState
Indicates that a U.S. state plays a primary or strategically important role in a given context (such as politics, economy, or policy).
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8ea0ac8190a5c68b1951ad3db1 |
completed | April 16, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69ded27b8cac8190bfa77698d53c5d1c |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:19 a.m.