Triple
T4627199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanmon Straits |
E101126
|
entity |
| Predicate | roadTunnelOpeningYear |
P57523
|
FINISHED |
| Object | 1958 (Kanmon Road Tunnel) |
—
|
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: 1958 (Kanmon Road Tunnel) | Statement: [Kanmon Straits, roadTunnelOpeningYear, 1958 (Kanmon Road Tunnel)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadTunnelOpeningYear Context triple: [Kanmon Straits, roadTunnelOpeningYear, 1958 (Kanmon Road Tunnel)]
-
A.
numberOfMajorTunnels
Indicates the count of primary or significant tunnels associated with an entity.
-
B.
SeikanTunnelConnects
Indicates that the Seikan Tunnel serves as a physical connection between two geographic locations or regions.
-
C.
SeikanTunnelType
Indicates that one entity is classified as a specific type or category of Seikan Tunnel.
-
D.
bridgeOpened
Indicates that a bridge has transitioned from a closed or inactive state to being open and available for use.
-
E.
hasTunnelsOnRoad
Indicates that a road includes or passes through one or more tunnels along its route.
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a2e9780819081add547c760abc9 |
completed | March 20, 2026, 2:31 p.m. |
| PD | Predicate disambiguation | batch_69bd5231db7c8190b38d4fdbad8bf842 |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd56b5f4648190834eafa666d53caa |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:13 p.m.