Triple
T22638619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nishinomiya-Kitaguchi Station |
E558754
|
entity |
| Predicate | hasOverpassesOrUnderpasses |
P24311
|
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: [Nishinomiya-Kitaguchi Station, hasOverpassesOrUnderpasses, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOverpassesOrUnderpasses Context triple: [Nishinomiya-Kitaguchi Station, hasOverpassesOrUnderpasses, yes]
-
A.
hasBridgeUnderpasses
Indicates that one structure, typically a bridge, includes or provides underpasses that allow passage beneath it.
-
B.
hasUnderpass
chosen
Indicates that one location or structure includes or is connected by an underpass beneath another feature or pathway.
-
C.
hasUndergroundConnections
Indicates that one entity is linked to another through subterranean or hidden passageways, networks, or channels.
-
D.
hasPedestrianOverpass
Indicates that there exists a pedestrian overpass connecting or spanning parts of the referenced location or infrastructure.
-
E.
hasTunnelsOnRoad
Indicates that a road includes or passes through one or more tunnels along its route.
- 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_69e24547f7fc819086e2c4ba3b979657 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700f9fac8190b82190a54be22413 |
completed | April 29, 2026, 2:42 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:04 p.m.