Triple
T6795097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pittsburg, Kansas |
E156033
|
entity |
| Predicate | distanceToMajorCity |
P60767
|
FINISHED |
| Object | about 90 miles south of Kansas City metropolitan area |
—
|
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: about 90 miles south of Kansas City metropolitan area | Statement: [Pittsburg, Kansas, distanceToMajorCity, about 90 miles south of Kansas City metropolitan area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMajorCity Context triple: [Pittsburg, Kansas, distanceToMajorCity, about 90 miles south of Kansas City metropolitan area]
-
A.
distanceFromMajorCity
chosen
Indicates the measured distance between a given location and a specified major city.
-
B.
nearestMajorCity
Indicates that one city is the closest significant urban center to another location or city compared to all other major cities.
-
C.
distanceFromDowntown
Indicates the physical distance between a given location and the central downtown area.
-
D.
otherMajorCity
Indicates that one city is another major city associated with or comparable in importance or status to the first city.
-
E.
distanceFromLosAngeles
Indicates the measured or specified distance between a given entity’s location and the city of Los Angeles.
- 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_69c6881844448190a65822d9b39d7f88 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2c6e7dc8190b1f33372d047baba |
completed | March 27, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69c6d0979ce0819094678896da4e3169 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:15 p.m.