Triple
T4579048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth City, North Carolina |
E101808
|
entity |
| Predicate | distanceToNorfolkVirginia |
P58108
|
FINISHED |
| Object | about 50 miles |
—
|
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 50 miles | Statement: [Elizabeth City, North Carolina, distanceToNorfolkVirginia, about 50 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToNorfolkVirginia Context triple: [Elizabeth City, North Carolina, distanceToNorfolkVirginia, about 50 miles]
-
A.
distanceToWinstonSalem
Indicates the spatial distance between a given entity’s location and the city of Winston-Salem.
-
B.
distanceToGreensboroMiles
Indicates the physical distance, measured in miles, between a given location and Greensboro.
-
C.
distanceFromJamestown
Indicates the measured distance between a given location and Jamestown.
-
D.
distanceFromDover
Indicates the measured distance between a given entity or location and the place named Dover.
-
E.
distanceFromBoston
Indicates the spatial distance between a given entity’s location and the city of Boston.
- 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_69bd43d4ce208190b53158c882b222e3 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd58e3e028819083c4662deb9f3c03 |
completed | March 20, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69bd5228b70c8190ac48705e35a710c1 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56b4a9508190acdb888eef18f1ee |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:10 p.m.