Triple
T5476293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Flour City |
E122961
|
entity |
| Predicate | associatedWithMunicipalityType |
P10835
|
FINISHED |
| Object | city |
—
|
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: city | Statement: [The Flour City, associatedWithMunicipalityType, city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithMunicipalityType Context triple: [The Flour City, associatedWithMunicipalityType, city]
-
A.
hasMunicipalityType
chosen
Indicates that an administrative unit is classified as having a specific type or category of municipality (e.g., city, town, village).
-
B.
typeOfMunicipalRelationship
Indicates a formal type or category of administrative or cooperative relationship that exists between municipalities.
-
C.
isInMunicipality
Indicates that one entity (typically a place or address) is located within the administrative boundaries of a specific municipality.
-
D.
affectsMunicipality
Indicates that one entity has an impact on, influences, or brings about changes in a specific municipality.
-
E.
hasMemberMunicipality
Indicates that an administrative region or governing body includes a specific municipality as one of its constituent members.
- 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_69bd46459ff48190823377457bcf7128 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd923639bc81909a83dd4fcaa8c636 |
completed | March 20, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69bd91a58c448190904964a439045e05 |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:09 p.m.