Triple
T1910560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hotto Motto Field Kobe |
E38099
|
entity |
| Predicate | hasNightGameLighting |
P1280
|
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: [Hotto Motto Field Kobe, hasNightGameLighting, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNightGameLighting Context triple: [Hotto Motto Field Kobe, hasNightGameLighting, yes]
-
A.
hasNightRaceLighting
Indicates that the subject facility or venue is equipped with lighting suitable for hosting events or activities at night.
-
B.
isIlluminatedAtNight
Indicates that an entity receives or emits sufficient light to be visibly illuminated during nighttime conditions.
-
C.
hasLighting
chosen
Indicates that one entity is equipped with, contains, or is characterized by a particular type or configuration of lighting.
-
D.
associatedNightTiming
Indicates a relationship where an event, action, or condition is linked specifically to a time period occurring during the night.
-
E.
lightingColor
Indicates the color or hue of the lighting applied to or associated with an entity.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb34d94fc8190a5bf1e582c77c725 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafeba3d88190afcce67483d8625b |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:35 p.m.