Triple
T14902759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minneapolis Mill District |
E360047
|
entity |
| Predicate | wasWorldLeaderIn |
P116596
|
FINISHED |
| Object | flour milling |
—
|
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: flour milling | Statement: [Minneapolis Mill District, wasWorldLeaderIn, flour milling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasWorldLeaderIn Context triple: [Minneapolis Mill District, wasWorldLeaderIn, flour milling]
-
A.
namedAfterCountryLeaderOf
Indicates that one entity is named after a person who is or was the leader of a specific country.
-
B.
hasCountryLeader
Indicates that a specified country is led or governed by a particular leader (such as a president, prime minister, or monarch).
-
C.
militaryLeader
Indicates that one entity serves as the commanding military leader of another entity, such as a state, organization, or armed force.
-
D.
politicalLeaderAssociatedWith
Indicates that a political leader has an official or notable association with a particular entity, such as an organization, region, or political body.
-
E.
notableFormerLeader
Indicates that the subject was once a leader of the object and is recognized as particularly significant or prominent in that former leadership role.
- F. None of above. chosen
Provenance (4 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded60b24008190bd272c0d61329400 |
completed | April 15, 2026, 12:04 a.m. |
| PD | Predicate disambiguation | batch_69de9a4a14a88190951bb8f4c60bd37b |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:11 a.m.