Triple
T1669621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Interstate 84 (Oregon–Idaho) |
E36093
|
entity |
| Predicate | renumbered |
P31584
|
FINISHED |
| Object | 1980s |
—
|
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: 1980s | Statement: [Interstate 84 (Oregon–Idaho), renumbered, 1980s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: renumbered Context triple: [Interstate 84 (Oregon–Idaho), renumbered, 1980s]
-
A.
canBeRenumberedTo
Indicates that one entity’s identifiers or numbering scheme can be systematically changed to match or correspond to another set of identifiers or numbering.
-
B.
canBeRenumberedFrom
Indicates that one entity’s numbering or identifier sequence is allowed to be changed starting from the numbering or identifier of another entity.
-
C.
isNumbered
Indicates that an entity has been assigned a specific number or position in an ordered sequence.
-
D.
refnum
Indicates that an entity is associated with a specific reference number used to identify or track it.
-
E.
reorganizedIn
Indicates that an entity underwent a structural or organizational change within a specified context, time, or framework.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab272a653481908f48aa1eed5de8a4 |
completed | March 6, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69aa61b2f6288190b2348ef7d7e4672d |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab271be3f4819091adcd745dec8159 |
completed | March 6, 2026, 7:12 p.m. |
Created at: March 4, 2026, 7:29 p.m.