Triple
T24089462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosh HaNikra |
E596746
|
entity |
| Predicate | railwayTunnelsBuiltBy |
P117654
|
FINISHED |
| Object | British Mandate authorities |
—
|
NE NERFINISHED |
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: British Mandate authorities | Statement: [Rosh HaNikra, railwayTunnelsBuiltBy, British Mandate authorities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayTunnelsBuiltBy Context triple: [Rosh HaNikra, railwayTunnelsBuiltBy, British Mandate authorities]
-
A.
hasRailwayTunnel
Indicates that one entity contains, includes, or is connected by a railway tunnel associated with the other entity.
-
B.
railTunnelOpeningYear
Indicates the calendar year in which a rail tunnel was officially opened for use.
-
C.
lengthOfTunnels
Indicates the measured extent or distance of tunnels associated with an entity.
-
D.
tunnelDugBy
chosen
Indicates that a tunnel was created or excavated by a particular agent or entity.
-
E.
SeikanTunnelType
Indicates that one entity is classified as a specific type or category of Seikan Tunnel.
- 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_69e288c4638c81909bacc28a1e3d436b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dc2d405881909469aa95901ab87b |
completed | April 29, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 10:48 p.m.