Triple
T25203124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen City of the Ozarks |
E631174
|
entity |
| Predicate | refersToMetropolitanRole |
P29185
|
FINISHED |
| Object | regional hub |
—
|
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: regional hub | Statement: [Queen City of the Ozarks, refersToMetropolitanRole, regional hub]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToMetropolitanRole Context triple: [Queen City of the Ozarks, refersToMetropolitanRole, regional hub]
-
A.
isMetropolitanOf
Indicates that one entity is the primary metropolitan area or major urban center associated with another entity, such as a region, country, or administrative division.
-
B.
hasMajorCityRole
chosen
Indicates that an entity plays a significant official or functional role in the governance, administration, or key operations of a major city.
-
C.
belongsToMetropolitanRegion
Indicates that one geographic or administrative area is part of, or included within, a larger metropolitan region.
-
D.
metropolitanOf
Indicates that one place serves as the primary metropolitan center or core urban area for another place or region.
-
E.
hasCityRole
Indicates that an entity holds or is assigned a specific role, function, or status within a particular city.
- 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_69e75a8b86c4819089eda22c843b739f |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 21, 2026, 12:51 p.m.