Triple
T18697028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M4 Junction 16 |
E457145
|
entity |
| Predicate | liesBetweenJunctions |
P1262
|
FINISHED |
| Object | M4 Junction 15 |
—
|
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: M4 Junction 15 | Statement: [M4 Junction 16, liesBetweenJunctions, M4 Junction 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: liesBetweenJunctions Context triple: [M4 Junction 16, liesBetweenJunctions, M4 Junction 15]
-
A.
locatedBetween
chosen
Indicates that one entity is positioned spatially between two other reference entities.
-
B.
hasJunctionIn
Indicates that one entity contains or includes a junction located within the spatial or structural extent of another entity.
-
C.
hasJunctionWith
Indicates that one entity meets or intersects with another at a shared junction point.
-
D.
isJunctionOnLine
Indicates that a particular junction lies on, or is part of, a specified line.
-
E.
isNumberedJunctionOf
Indicates that a junction (such as a road or rail intersection) has been assigned an official identifying number within a network.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e8bc408190ab41b3c21003c249 |
completed | April 19, 2026, 11:19 p.m. |
| PD | Predicate disambiguation | batch_69e478de85088190ba5f005f1d39f587 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:49 a.m.