Triple
T12763778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilbert Trail (Iowa) |
E305064
|
entity |
| Predicate | usesFormerInfrastructure |
P6820
|
FINISHED |
| Object | former railroad corridor |
—
|
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: former railroad corridor | Statement: [Gilbert Trail (Iowa), usesFormerInfrastructure, former railroad corridor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesFormerInfrastructure Context triple: [Gilbert Trail (Iowa), usesFormerInfrastructure, former railroad corridor]
-
A.
formerInfrastructure
Indicates that an entity once served as infrastructure for another entity or system but no longer holds that functional status.
-
B.
usesInfrastructure
chosen
Indicates that one entity makes use of, depends on, or operates through the infrastructure provided or managed by another entity.
-
C.
formerlyUsedBy
Indicates that an entity was used by another entity in the past but is no longer in use by that entity.
-
D.
hasInfrastructureAbove
Indicates that one entity’s infrastructure is physically located above or over another entity.
-
E.
preservesInfrastructureOf
Indicates that one entity maintains, protects, or sustains the functionality and integrity of another entity’s infrastructure.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d8f9f588190bffdea878856204b |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96409739881909174ba005a986cb5 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:28 p.m.