Triple
T28863349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durham University Queen’s Campus |
E728923
|
entity |
| Predicate | distanceFromDurhamCityApprox |
P43014
|
FINISHED |
| Object | 20 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: 20 miles | Statement: [Durham University Queen’s Campus, distanceFromDurhamCityApprox, 20 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromDurhamCityApprox Context triple: [Durham University Queen’s Campus, distanceFromDurhamCityApprox, 20 miles]
-
A.
distanceFromDurhamCity
chosen
Indicates the measured distance between an entity’s location and the city of Durham.
-
B.
distanceFromNewcastle
Indicates the spatial distance between a given entity or location and the city of Newcastle.
-
C.
distanceToRaleighApproxMiles
Indicates the approximate distance, measured in miles, between a given place and Raleigh.
-
D.
directionFromDurhamCity
Indicates the compass direction or relative bearing of one place or object as measured outward from Durham City.
-
E.
distanceToWinstonSalem
Indicates the spatial distance between a given entity’s location and the city of Winston-Salem.
- 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_69f031a01cbc8190ba87270bb6fe4639 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_6a004a8892c08190bcacb952ad737716 |
completed | May 10, 2026, 9:06 a.m. |
| PD | Predicate disambiguation | batch_6a004a44b4948190be4b3dbfce8da020 |
completed | May 10, 2026, 9:05 a.m. |
Created at: April 28, 2026, 6:48 a.m.