Triple
T23205470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridgeville, Delaware |
E580440
|
entity |
| Predicate | distanceToWilmington |
P151342
|
FINISHED |
| Object | about 70 miles south |
—
|
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 70 miles south | Statement: [Bridgeville, Delaware, distanceToWilmington, about 70 miles south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToWilmington Context triple: [Bridgeville, Delaware, distanceToWilmington, about 70 miles south]
-
A.
distanceToWinstonSalem
Indicates the spatial distance between a given entity’s location and the city of Winston-Salem.
-
B.
distanceToRaleighApproxMiles
Indicates the approximate distance, measured in miles, between a given place and Raleigh.
-
C.
distanceToCharlotte
Indicates the measured or estimated distance between a given entity and the location Charlotte.
-
D.
distanceToOceanCity
Indicates the measured distance between a given location and Ocean City.
-
E.
distanceFromDover
Indicates the measured distance between a given entity or location and the place named Dover.
- 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907c1d7c8190aca252a39ae0da86 |
completed | April 29, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:07 p.m.