Triple
T27994752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I-185 |
E706979
|
entity |
| Predicate | formerPrimaryRouteTo |
P147208
|
FINISHED |
| Object | Fort Benning |
—
|
NE NERFINISHED |
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: Fort Benning | Statement: [I-185, formerPrimaryRouteTo, Fort Benning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerPrimaryRouteTo Context triple: [I-185, formerPrimaryRouteTo, Fort Benning]
-
A.
primaryRouteFrom
Indicates that one entity serves as the main or preferred route originating from another entity.
-
B.
primaryRouteOf
chosen
Indicates that one route is the main or most important pathway used for reaching or connecting to a particular destination or entity.
-
C.
primaryRouteThrough
Indicates that one location or path serves as the main or most significant route passing through another location or area.
-
D.
originalRoute
Indicates that one route is the initial or primary path from which another route is derived, modified, or compared.
-
E.
formerRouteType
Indicates that an entity previously had a specific route classification or type, which is no longer its current status.
- 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_69ef96b980d88190a753b2f9a978595a |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fd76d1e5208190a6f26651492d1e3c |
completed | May 8, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69fd702a226c81908edfda00f4be4130 |
completed | May 8, 2026, 5:10 a.m. |
Created at: April 27, 2026, 7:52 p.m.