Triple
T28092102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twin Pines Mall |
E709980
|
entity |
| Predicate | hasOnscreenParkingLot |
P173707
|
FINISHED |
| Object | location of DeLorean acceleration to 88 miles per hour |
—
|
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: location of DeLorean acceleration to 88 miles per hour | Statement: [Twin Pines Mall, hasOnscreenParkingLot, location of DeLorean acceleration to 88 miles per hour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnscreenParkingLot Context triple: [Twin Pines Mall, hasOnscreenParkingLot, location of DeLorean acceleration to 88 miles per hour]
-
A.
hasParking
Indicates that a place or facility provides designated parking space(s) available for use.
-
B.
hasParkingFor
Indicates that a place or facility provides designated parking spaces suitable for a specified type of vehicle or user.
-
C.
hasAccessibleParking
Indicates that a place or facility provides parking spaces that are accessible to people with disabilities.
-
D.
hasParkingLotOwner
Indicates that a parking lot is owned or possessed by a specific owner.
-
E.
hasParkingConnection
Indicates that one entity is linked to another through a parking-related connection, such as shared access, adjacency, or functional association with parking facilities.
- 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_69ef9b70fd108190a875953b2e50ca91 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f6b9a84ff88190ab5a71f7ef1e0dac |
completed | May 3, 2026, 2:57 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b8fe147881908ba17483c7b13f05 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 27, 2026, 8:59 p.m.