Triple
T1874557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Route 93 (historically) |
E39111
|
entity |
| Predicate | bridgeTypeAtCrossing |
P1787
|
FINISHED |
| Object | dam-top roadway on Hoover Dam |
—
|
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: dam-top roadway on Hoover Dam | Statement: [U.S. Route 93 (historically), bridgeTypeAtCrossing, dam-top roadway on Hoover Dam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bridgeTypeAtCrossing Context triple: [U.S. Route 93 (historically), bridgeTypeAtCrossing, dam-top roadway on Hoover Dam]
-
A.
bridgeType
chosen
Indicates the specific kind or classification of a bridge associated with an entity.
-
B.
bridgeName
Indicates the designated name assigned to a specific bridge.
-
C.
hasBridgeTypeCrossing
Indicates that a bridge is characterized by a specific type of crossing it provides or supports.
-
D.
bridgeLocation
Indicates the specific place or area where a bridge is situated or spans.
-
E.
hasBridgeTunnel
Indicates that there exists a bridge or tunnel connection between two locations or structures.
- 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0f79fbc819085c54f3189a552d9 |
completed | March 7, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69abafe2b56c81909e13d543982e6e13 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:34 p.m.