Triple
T3835586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union Pacific lounge cars |
E91122
|
entity |
| Predicate | typicalEraOfUse |
P3656
|
FINISHED |
| Object | mid-20th century |
—
|
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: mid-20th century | Statement: [Union Pacific lounge cars, typicalEraOfUse, mid-20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalEraOfUse Context triple: [Union Pacific lounge cars, typicalEraOfUse, mid-20th century]
-
A.
historicalPeriodOfUse
chosen
Indicates the time period during which something was in active use or commonly utilized.
-
B.
appliesToEra
Indicates that something is relevant, valid, or in effect during a particular historical or temporal era.
-
C.
periodOfMajorUse
Indicates the time span during which something was primarily or most intensively used.
-
D.
yearOfUse
Indicates the specific year during which something was in use or actively utilized.
-
E.
partOfEra
Indicates that one entity exists as a temporal segment or component within the duration or scope of a larger historical era.
- 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_69aed960b538819096561c8ed448dec9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb9a27508190b05e5312cc7c8033 |
completed | March 9, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69aee74dcecc819098285483ec721b40 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:18 p.m.