Triple
T37405058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Buses route 35 |
E929103
|
entity |
| Predicate | hasNightVariant |
P123027
|
FINISHED |
| Object | London Buses route N35 |
—
|
NE NERFINISHED |
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: London Buses route N35 | Statement: [London Buses route 35, hasNightVariant, London Buses route N35]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNightVariant Context triple: [London Buses route 35, hasNightVariant, London Buses route N35]
-
A.
dayNightVariant
chosen
Indicates a relationship where one entity is a day-time version and the other is a night-time version of the same underlying thing.
-
B.
hasDayTheme
Indicates that something is associated with or characterized by a theme specifically intended for daytime use or context.
-
C.
isIlluminatedAtNight
Indicates that an entity receives or emits sufficient light to be visibly illuminated during nighttime conditions.
-
D.
nightViewType
Indicates the type or category of a view or scene specifically as it appears at night.
-
E.
nightMode
Indicates that a system, interface, or device is operating in a dark or low-light-optimized display mode.
- 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_69f76ebbf79c8190b85bbcf3a6be57e4 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:16 p.m.