Triple
T20221121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LIRR DM30AC |
E495256
|
entity |
| Predicate | thirdRailCollectionMethod |
P139265
|
FINISHED |
| Object | contact shoes |
—
|
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: contact shoes | Statement: [LIRR DM30AC, thirdRailCollectionMethod, contact shoes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdRailCollectionMethod Context triple: [LIRR DM30AC, thirdRailCollectionMethod, contact shoes]
-
A.
thirdRailType
Indicates the specific design or configuration type of a third rail used in an electrified railway system.
-
B.
usesThirdRail
Indicates that an entity operates by drawing electric power from a third rail rather than from overhead lines or other power sources.
-
C.
hasRail
Indicates that something is equipped with, includes, or is connected to a rail or rail system.
-
D.
hasRailMode
Indicates that an entity is associated with or supports transportation via rail-based modes (such as trains, trams, or subways).
-
E.
mobilizationMethod
Indicates the method or process by which resources, people, or assets are organized and activated for a particular purpose or operation.
- 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.