Triple
T20879975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MRN |
E514117
|
entity |
| Predicate | hasCrossStateStructure |
P142228
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [MRN, hasCrossStateStructure, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCrossStateStructure Context triple: [MRN, hasCrossStateStructure, yes]
-
A.
hasCross
Indicates that one entity possesses, displays, or is marked by a cross in relation to another entity or context.
-
B.
crossingStructure
Indicates that one entity serves as a structure enabling passage across or over another entity, such as a bridge, tunnel, or overpass.
-
C.
hasTypeOfCross
Indicates that an entity possesses or is associated with a specific type or style of cross.
-
D.
hasCrossColor
Indicates that an entity possesses a cross-shaped marking or pattern of a specified color.
-
E.
hasStateBranch
Indicates that one entity functions as a branch, subdivision, or local office of a larger parent entity within a particular state or regional jurisdiction.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c678b394819096a17de9e04cd74f |
completed | April 21, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e5d53c4d6881909b4d0a716fa5ed4a |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 16, 2026, 12:45 p.m.