Triple
T38053076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carter County |
E949819
|
entity |
| Predicate | hasMajorCityOrTown |
P316
|
FINISHED |
| Object | Elizabethton |
E803415
|
NE 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: Elizabethton | Statement: [Carter County, hasMajorCityOrTown, Elizabethton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorCityOrTown Context triple: [Carter County, hasMajorCityOrTown, Elizabethton]
-
A.
hasMajorCity
chosen
Indicates that a location possesses at least one city of significant size, importance, or influence within its region or country.
-
B.
hasMajorCityFunction
Indicates that an entity serves an important urban role or function typically associated with a major city (such as being a commercial, administrative, or cultural center).
-
C.
hasMajorCityOfUse
Indicates that a particular city is the primary or most significant location where something (e.g., a product, language, service) is predominantly used or applied.
-
D.
hasMajorCityArea
Indicates that a place or region includes, is associated with, or is served by a major metropolitan city area.
-
E.
hasMajorCityRole
Indicates that an entity plays a significant official or functional role in the governance, administration, or key operations of a major city.
- F. None of above.
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_69f76f000cf081908c11fb5443b392e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a416801f21081908f14feb1b2ae0253 |
completed | June 28, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:20 p.m.