Triple
T20193844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johto |
E493032
|
entity |
| Predicate | hasDayNightSystemIntroduced |
P139131
|
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: [Johto, hasDayNightSystemIntroduced, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDayNightSystemIntroduced Context triple: [Johto, hasDayNightSystemIntroduced, yes]
-
A.
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.
-
B.
isIlluminatedAtNight
Indicates that an entity receives or emits sufficient light to be visibly illuminated during nighttime conditions.
-
C.
isDiurnal
Indicates that an entity is active during the daytime and rests at night.
-
D.
hasDayTheme
Indicates that something is associated with or characterized by a theme specifically intended for daytime use or context.
-
E.
hasNightRaceLighting
Indicates that the subject facility or venue is equipped with lighting suitable for hosting events or activities at night.
- F. None of above. chosen
Provenance (4 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad7270081908ed8513a8363e9b1 |
completed | April 20, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e55b11124c8190babacf2a0fe2d057 |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56700b1a08190ace53cf95827d72d |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:37 p.m.