Triple
T25180787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chittering |
E630576
|
entity |
| Predicate | roadDistanceToEly |
P73813
|
FINISHED |
| Object | approximately 10 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: approximately 10 miles | Statement: [Chittering, roadDistanceToEly, approximately 10 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadDistanceToEly Context triple: [Chittering, roadDistanceToEly, approximately 10 miles]
-
A.
distanceFromEly
chosen
Indicates the spatial distance between a given entity and the reference location Ely.
-
B.
distanceToElgin
Indicates the spatial distance between a given entity and the location identified as Elgin.
-
C.
distanceToNomeByRoad
Indicates the road travel distance between a given place and the city of Nome.
-
D.
roadDistanceToLeek_km
Indicates the distance in kilometers between an entity and Leek when traveling via the road network.
-
E.
approximateRouteLength
Indicates the estimated total distance or length of a given route, rather than its exact measured value.
- 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_69e75a88fdf081908e47ae6e195c14e1 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f46dc5e4b08190a2638f941be1aaeb |
completed | May 1, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 21, 2026, 12:36 p.m.