Triple
T4019762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O'Reilly Auto Parts |
E91250
|
entity |
| Predicate | hasServiceChannel |
P44485
|
FINISHED |
| Object | brick-and-mortar stores |
—
|
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: brick-and-mortar stores | Statement: [O'Reilly Auto Parts, hasServiceChannel, brick-and-mortar stores]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasServiceChannel Context triple: [O'Reilly Auto Parts, hasServiceChannel, brick-and-mortar stores]
-
A.
hasChannel
Indicates that one entity possesses, provides, or is associated with a particular communication or distribution channel.
-
B.
hasCustomerServiceChannel
chosen
Indicates that an entity provides or is associated with a specific channel or medium through which customer service interactions can occur.
-
C.
hasServiceTo
Indicates that one entity provides, offers, or operates a service for or directed toward another entity.
-
D.
hasApproachChannel
Indicates that one entity provides or is associated with a designated approach channel used for access, navigation, or entry to another entity.
-
E.
hasCanalOrChannel
Indicates that one entity possesses, contains, or is traversed by a canal or channel that serves as a conduit or passageway.
- 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_69aed9618b04819081750d979d2af098 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaab39d4819080e37cd175c89542 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8fc78ec819092d4dab88d85a141 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:35 p.m.