Triple
T12948052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huey P. Long Bridge (Baton Rouge) |
E309818
|
entity |
| Predicate | isNamedStructureIn |
P40126
|
FINISHED |
| Object | Baton Rouge transportation network |
—
|
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: Baton Rouge transportation network | Statement: [Huey P. Long Bridge (Baton Rouge), isNamedStructureIn, Baton Rouge transportation network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNamedStructureIn Context triple: [Huey P. Long Bridge (Baton Rouge), isNamedStructureIn, Baton Rouge transportation network]
-
A.
isNamedTree
Indicates that the entity is a tree that has been given a specific name or designation.
-
B.
isNamedEntity
Indicates that the subject is recognized as a named entity, such as a specific person, organization, location, or other proper noun.
-
C.
hasStructureType
Indicates that an entity possesses or is classified by a specific structural type or configuration.
-
D.
isNamedLocation
chosen
Indicates that an entity is a specific, identifiable place referred to by a proper name.
-
E.
isNamedUnit
Indicates that an entity is a unit of measurement that has an explicit, conventional name rather than being expressed purely in derived or composite form.
- 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_69d7bdfb57a88190836b743e2825feca |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97db69f548190a1a693bc0d6c191a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:43 p.m.