Triple
T16520381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whity Umeda underground mall |
E401301
|
entity |
| Predicate | levelBelowGround |
P98017
|
FINISHED |
| Object | B1 |
—
|
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: B1 | Statement: [Whity Umeda underground mall, levelBelowGround, B1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: levelBelowGround Context triple: [Whity Umeda underground mall, levelBelowGround, B1]
-
A.
elevationBelowGround
Indicates that one entity’s elevation is located beneath the ground surface or reference ground level.
-
B.
hasUndergroundDepth
Indicates that one entity has a specified vertical extent or depth located below the ground surface relative to another reference or context.
-
C.
subterranean
Indicates that one entity is located beneath the surface of the ground or under another structure or area.
-
D.
hasUndergroundLevel
chosen
Indicates that one entity possesses or includes a level, floor, or section that is located below ground level.
-
E.
undergroundZone
Indicates that something is located in, associated with, or occurring within an area beneath the ground surface.
- 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_69d883838abc8190bc79cb2d41733ce2 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e7f8a1481909fe6b3c16a72059b |
completed | April 18, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69e296995d388190b88ebe189dce890d |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:14 a.m.