Triple
T34485473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kintetsu Nipponbashi Station |
E885305
|
entity |
| Predicate | locatedUndergroundOf |
P42731
|
FINISHED |
| Object | Sakaisuji Avenue |
E1785435
|
NE 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: Sakaisuji Avenue | Statement: [Kintetsu Nipponbashi Station, locatedUndergroundOf, Sakaisuji Avenue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedUndergroundOf Context triple: [Kintetsu Nipponbashi Station, locatedUndergroundOf, Sakaisuji Avenue]
-
A.
subterranean
chosen
Indicates that one entity is located beneath the surface of the ground or under another structure or area.
-
B.
undergroundZone
Indicates that something is located in, associated with, or occurring within an area beneath the ground surface.
-
C.
placedUndergroundDuring
Indicates that an entity was located or positioned beneath the ground for the duration of a specified time or event.
-
D.
hasUndergroundDepth
Indicates that one entity has a specified vertical extent or depth located below the ground surface relative to another reference or context.
-
E.
hasUndergroundOrgan
Indicates that an entity possesses an organ or structure that is located below the ground surface.
- F. None of above.
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_69f349c947fc81909d30b53c194d6ea1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3729d5abf88190bc72af8b0fb71590 |
completed | June 21, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 2:01 a.m.