Triple
T8899182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Redbourn |
E211881
|
entity |
| Predicate | currentUseOfNickeyLine |
P76380
|
FINISHED |
| Object | footpath and cycleway |
—
|
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: footpath and cycleway | Statement: [Redbourn, currentUseOfNickeyLine, footpath and cycleway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentUseOfNickeyLine Context triple: [Redbourn, currentUseOfNickeyLine, footpath and cycleway]
-
A.
lineUses
Indicates that a particular line (such as a route, service, or connection) makes use of or is implemented using a specified resource, infrastructure, or element.
-
B.
lineUse
chosen
Indicates how a particular line (such as a route, track, or service line) is utilized or purposed within a system or network.
-
C.
alsoUsedOnLine
Indicates that something used in one context, medium, or location is additionally used on a specific line (such as a route, circuit, or sequence).
-
D.
usedAsNicknameSince
Indicates that one entity has been used as a nickname for another entity starting from a specified point in time.
-
E.
usesLineCode
Indicates that one entity employs or references a specific line code as part of its operation, identification, or communication.
- 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_69ca83918d3081909b326fa3750cb8c8 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc64278b208190afc3dec64ecdb0f5 |
completed | April 1, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69cc5c2bfb38819083d5eb1af8ccf4d6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:54 p.m.