Triple
T25719581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Claiborne Avenue |
E644952
|
entity |
| Predicate | yearInterstateOverpassCompleted |
P159010
|
FINISHED |
| Object | 1960s |
—
|
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: 1960s | Statement: [Claiborne Avenue, yearInterstateOverpassCompleted, 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearInterstateOverpassCompleted Context triple: [Claiborne Avenue, yearInterstateOverpassCompleted, 1960s]
-
A.
interstateHighwayPassesThrough
Indicates that a specific interstate highway physically traverses or runs through the geographic area or jurisdiction of a given place.
-
B.
nationalHighwayConnectivity
Indicates the extent to which locations are linked by a network of national highways enabling direct or efficient road travel between them.
-
C.
riverCrossedByMaintainedBridges
Indicates that a river is spanned by one or more bridges that are actively maintained in usable condition.
-
D.
stateHighwayConnectivity
Indicates that there is a transportation connection or linkage between locations via a designated state highway.
-
E.
isIntercityHighway
Indicates that a given road segment functions as a highway connecting different cities or urban areas.
- 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_69e77e8476fc8190bd5e9d05b89fad0a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fc6554cc81908b0935fc1b313a60 |
completed | May 2, 2026, 1:30 p.m. |
| PD | Predicate disambiguation | batch_69f480824a1c81908a8a492eedbc2596 |
completed | May 1, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 21, 2026, 9:53 p.m.