Triple
T6051500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colorado Railcar DMU |
E134803
|
entity |
| Predicate | builderStatus |
P67983
|
FINISHED |
| Object | manufacturer later ceased operations |
—
|
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: manufacturer later ceased operations | Statement: [Colorado Railcar DMU, builderStatus, manufacturer later ceased operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: builderStatus Context triple: [Colorado Railcar DMU, builderStatus, manufacturer later ceased operations]
-
A.
builder
Indicates that an entity is responsible for constructing, creating, or assembling another entity.
-
B.
hasBuildingStatus
Indicates the current condition, classification, or operational state assigned to a building.
-
C.
builderModel
Indicates a relationship where one entity serves as the design or construction template (the "builder model") used to create, configure, or generate another entity.
-
D.
reconstructionStatus
Indicates the current state or phase of a reconstruction process that an entity is undergoing or has undergone.
-
E.
builtOn
Indicates that one entity is constructed, developed, or established using another entity as its base, foundation, or underlying platform.
- 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_69c00877b6d4819096b0e163728b73a3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056f802988190aafdb7cbb087c828 |
completed | March 22, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69c049edc6f0819092ca620d9073ad26 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04dbefd1081909795fe1a812b991a |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 4:09 p.m.