Triple
T20221122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LIRR DM30AC |
E495256
|
entity |
| Predicate | canOperateInTunnels |
P139266
|
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: [LIRR DM30AC, canOperateInTunnels, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canOperateInTunnels Context triple: [LIRR DM30AC, canOperateInTunnels, yes]
-
A.
usesTunnel
Indicates that one entity makes use of a tunnel as a passage or route to reach or connect to another entity.
-
B.
tunnelAllows
Indicates that a tunnel provides a passage or route that permits movement, access, or flow between two locations or entities.
-
C.
hasTunnel
Indicates that one entity possesses, contains, or is connected by a tunnel to another entity.
-
D.
tunnels
Indicates that one entity passes through, under, or within another entity via a tunnel-like passage or structure.
-
E.
isInTunnelSystem
Indicates that one entity is located within or forms part of a tunnel system associated with another entity.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fd610f881908fdd22b1f8bd2efc |
completed | April 20, 2026, 6:26 p.m. |
| PD | Predicate disambiguation | batch_69e55b18609481909ab28bc8750a642f |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56700b1a08190ace53cf95827d72d |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:39 p.m.