Triple
T26387012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryder rental truck |
E663307
|
entity |
| Predicate | parkedInFrontOf |
P63831
|
FINISHED |
| Object | Alfred P. Murrah Federal Building |
—
|
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: Alfred P. Murrah Federal Building | Statement: [Ryder rental truck, parkedInFrontOf, Alfred P. Murrah Federal Building]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parkedInFrontOf Context triple: [Ryder rental truck, parkedInFrontOf, Alfred P. Murrah Federal Building]
-
A.
installedInFrontOf
Indicates that one object has been placed or mounted so that it is positioned directly in front of another object.
-
B.
hasParkingFor
Indicates that a place or facility provides designated parking spaces suitable for a specified type of vehicle or user.
-
C.
frontOf
chosen
Indicates that one entity is positioned directly before another along a primary viewing or movement direction.
-
D.
hasParking
Indicates that a place or facility provides designated parking space(s) available for use.
-
E.
hasParkingNearby
Indicates that a location has one or more parking facilities or spaces available within a close surrounding area.
- 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_69ee88374adc81909868f3bab374a32f |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f610bc2b288190ae10e6c27e5df786 |
completed | May 2, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 11:23 p.m.