Triple
T2161301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cleveland, Tennessee |
E46806
|
entity |
| Predicate | metropolitanAreaType |
P36084
|
FINISHED |
| Object | principal 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: principal city | Statement: [Cleveland, Tennessee, metropolitanAreaType, principal city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metropolitanAreaType Context triple: [Cleveland, Tennessee, metropolitanAreaType, principal city]
-
A.
urbanAreaType
Indicates the classification of an area based on its urban characteristics or development type (e.g., city, town, suburb, metropolitan region).
-
B.
isMetropolitanCoreOf
Indicates that one area functions as the central, most urbanized core within a larger metropolitan region or system.
-
C.
macroArea
Indicates a broad geographic or regional grouping within which an entity (such as a language or location) is situated.
-
D.
largestMetropolitanArea
Indicates that one entity is the largest metropolitan area associated with, contained within, or relevant to another entity, typically by population or spatial extent.
-
E.
hasPopulationCenterType
Indicates the classification of a population center by its type, such as city, town, village, or other settlement category.
- 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_69a88a184cbc8190877791f6552c2484 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe89e6ac8190b4b4bc0be4fe7aa9 |
completed | March 7, 2026, 5:58 a.m. |
| PD | Predicate disambiguation | batch_69abbd9c90408190b6b65498ca43ce26 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbe1ecb7081909c2c66da08a48ab7 |
completed | March 7, 2026, 5:56 a.m. |
Created at: March 4, 2026, 7:45 p.m.