Triple
T24531242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ward 8 of Washington, D.C. |
E606814
|
entity |
| Predicate | hasMajorBridgeConnection |
P36619
|
FINISHED |
| Object | Frederick Douglass Memorial Bridge |
—
|
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: Frederick Douglass Memorial Bridge | Statement: [Ward 8 of Washington, D.C., hasMajorBridgeConnection, Frederick Douglass Memorial Bridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorBridgeConnection Context triple: [Ward 8 of Washington, D.C., hasMajorBridgeConnection, Frederick Douglass Memorial Bridge]
-
A.
hasMajorBridge
Indicates that one entity possesses or includes a primary or significant bridge associated with it.
-
B.
hasNumberOfBridges
Indicates the quantitative relationship specifying how many bridges are associated with a given entity.
-
C.
hasBridgeTo
chosen
Indicates that one entity is connected to another by a bridge or bridging structure that allows passage or linkage between them.
-
D.
hasNumberOfMainBridges
Indicates the quantity of primary or main bridges associated with a given entity.
-
E.
hasBridges
Indicates that one entity possesses, contains, or is characterized by one or more bridges connecting locations or components.
- 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_69e2c4c90c848190b23c4303620dcaaf |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:25 a.m.