Triple
T22004589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tennessee Pass route |
E543417
|
entity |
| Predicate | notableEraOfHeavyUse |
P122700
|
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: [Tennessee Pass route, notableEraOfHeavyUse, mid-20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableEraOfHeavyUse Context triple: [Tennessee Pass route, notableEraOfHeavyUse, mid-20th century]
-
A.
historicalPeriodOfGreatestUse
chosen
Indicates the time period during which something was used most intensively or prevalently.
-
B.
historicalPeriodOfUse
Indicates the time period during which something was in active use or commonly utilized.
-
C.
periodOfMajorUse
Indicates the time span during which something was primarily or most intensively used.
-
D.
usedDuringEraOf
Indicates that something was in use or actively employed during the time period or historical era associated with another entity.
-
E.
notableEra
Indicates the historical period or era for which an entity is especially recognized or significant.
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1276d81e4819083a40e51249e7fd7 |
completed | April 28, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69e6f62dc9d88190ae387f145f9528de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:20 p.m.