Triple
T35431513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater New Orleans Expressway |
E1024071
|
entity |
| Predicate | isEngineeringLandmark |
P62261
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Greater New Orleans Expressway, isEngineeringLandmark, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEngineeringLandmark Context triple: [Greater New Orleans Expressway, isEngineeringLandmark, true]
-
A.
isEngineeringStructureOf
Indicates that one entity serves as an engineering structure that is functionally or structurally associated with, or part of, another entity.
-
B.
isEngineeredStructure
chosen
Indicates that something is a man-made or artificially constructed structure, typically designed and built through engineering processes.
-
C.
isEngineeringStructureOfType
Indicates that an engineering structure belongs to or is classified under a specified structural type.
-
D.
isLandmarkFor
Indicates that one entity serves as a notable or significant reference point or attraction for another entity, such as a place, route, or area.
-
E.
isUrbanLandmark
Indicates that a place or structure is recognized as a notable or significant landmark within an urban environment.
- 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_69f76df743c48190aecb6dd79efb0d95 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f795b7148081908a26ea525831db40 |
completed | May 3, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69f7910770108190bdd39ddb5d304f54 |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.