Triple
T17891689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lydiard Millicent |
E447331
|
entity |
| Predicate | nearestJunctionOfM4 |
P16027
|
FINISHED |
| Object | junction 16 |
—
|
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: junction 16 | Statement: [Lydiard Millicent, nearestJunctionOfM4, junction 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestJunctionOfM4 Context triple: [Lydiard Millicent, nearestJunctionOfM4, junction 16]
-
A.
nearJunctionOf
Indicates that one entity is located close to the point where two or more linear features (such as roads, tracks, or paths) meet or intersect.
-
B.
nearestRoadHead
Indicates that one location is the closest accessible road endpoint (or road access point) to another location.
-
C.
nearestMotorway
Indicates that one entity is the motorway that is geographically closest to the other entity.
-
D.
nearestMajorRailwayJunction
Indicates the closest significant railway junction in terms of distance from a given location or entity.
-
E.
motorwayJunctionNearby
chosen
Indicates that a motorway junction is located close to the referenced entity.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d7a855c8190b20bdbf6dcd4fd47 |
completed | April 19, 2026, 9:16 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e9b77c8190bbfb508f28dfacfa |
completed | April 18, 2026, 7:18 p.m. |
Created at: April 10, 2026, 10:19 a.m.