Triple
T3011289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kodak, Tennessee |
E82226
|
entity |
| Predicate | distanceToKnoxville |
P44651
|
FINISHED |
| Object | approximately 20 miles east of Knoxville |
—
|
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: approximately 20 miles east of Knoxville | Statement: [Kodak, Tennessee, distanceToKnoxville, approximately 20 miles east of Knoxville]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToKnoxville Context triple: [Kodak, Tennessee, distanceToKnoxville, approximately 20 miles east of Knoxville]
-
A.
distanceToWinstonSalem
Indicates the spatial distance between a given entity’s location and the city of Winston-Salem.
-
B.
distanceToCharlotte
Indicates the measured or estimated distance between a given entity and the location Charlotte.
-
C.
distanceToLexington
Indicates the measured or calculated distance between a given entity and the location named Lexington.
-
D.
distanceToMontgomery
Indicates the spatial distance between a given entity and the location identified as Montgomery.
-
E.
distanceToSeattle
Indicates the measured or calculated distance between a given entity’s location and the city of Seattle.
- 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a4e2c8c8190a8fed3604780826b |
completed | March 8, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69ad96180eb08190a524c5f458d41382 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f6af3881909f4547967384114c |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3 p.m.