Triple
T25447483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nairobi–London |
E637674
|
entity |
| Predicate | hasDayNightOperation |
P59106
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Nairobi–London, hasDayNightOperation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDayNightOperation Context triple: [Nairobi–London, hasDayNightOperation, yes]
-
A.
requiresNighttimeOperation
Indicates that the action or process can only be carried out, or is intended to be carried out, during nighttime conditions.
-
B.
hasDayNightSystemIntroduced
Indicates that a day-night cycle mechanic has been implemented or made available within a system or environment.
-
C.
operatesDaytime
Indicates that an entity performs its primary function or activity during daytime hours.
-
D.
has24HourOperations
chosen
Indicates that an entity operates continuously for 24 hours a day without closing.
-
E.
dayNightVariant
Indicates a relationship where one entity is a day-time version and the other is a night-time version of the same underlying thing.
- 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_69e75db7c5048190b8da9cd7eeedb610 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5ffc74fa481909b4fe24a9337f9eb |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7f99dc08190afcfb3bc4dfbec1d |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 21, 2026, 2:02 p.m.