Triple
T25597724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murder of James Byrd Jr. |
E641698
|
entity |
| Predicate | tookPlaceOnRoad |
P20522
|
FINISHED |
| Object | rural road outside Jasper, Texas |
—
|
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: rural road outside Jasper, Texas | Statement: [Murder of James Byrd Jr., tookPlaceOnRoad, rural road outside Jasper, Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tookPlaceOnRoad Context triple: [Murder of James Byrd Jr., tookPlaceOnRoad, rural road outside Jasper, Texas]
-
A.
onRoad
chosen
Indicates that one entity is located on, traveling along, or otherwise situated upon a road.
-
B.
hasRoadway
Indicates that one location or area is connected to another by a road or roadway infrastructure.
-
C.
rangeRoad
Indicates that a road or route extends across or through a specified geographic range or area.
-
D.
startsAtRoad
Indicates that something begins or originates at a specific road or roadway location.
-
E.
roadSide
Indicates that one entity is located along, beside, or immediately adjacent to a road.
- 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_69e75dc60d108190b7e2419e36b0134b |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f9a420f08190a8ed8c9a8c245fc4 |
completed | May 2, 2026, 1:18 p.m. |
| PD | Predicate disambiguation | batch_69f480789be08190ab252a6de3797200 |
completed | May 1, 2026, 10:29 a.m. |
Created at: April 21, 2026, 4:29 p.m.