Triple
T10411435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pendre railway station |
E245399
|
entity |
| Predicate | hasLoop |
P37090
|
FINISHED |
| Object | passing loop |
—
|
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: passing loop | Statement: [Pendre railway station, hasLoop, passing loop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLoop Context triple: [Pendre railway station, hasLoop, passing loop]
-
A.
isLoop
Indicates that something forms or behaves as a closed, repeating cycle or path that returns to its starting point.
-
B.
hasPassingLoopAt
chosen
Indicates that a railway line or track segment includes a passing loop located at a specified place or point.
-
C.
hasBusLoop
Indicates that a location or facility includes a designated looped roadway or area specifically for bus circulation, stopping, or turning.
-
D.
hasLoopDirectionOptions
Indicates that an entity provides or supports multiple possible directions in which a loop can operate or be executed.
-
E.
loopsFrom
Indicates that a path, process, or connection starts at a given point and returns back to that same point, forming a loop.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9fc72d081908d81c71133973daf |
completed | April 7, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb6f160819090040644a12395ec |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:09 p.m.