Triple
T7366823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bastian Lehmann |
E169889
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Postmates |
E31510
|
NE 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: Postmates | Statement: [Bastian Lehmann, knownFor, Postmates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Postmates Context triple: [Bastian Lehmann, knownFor, Postmates]
-
A.
Postmates
chosen
Postmates is an on-demand delivery service platform that connects users with local couriers to deliver food, groceries, and other goods from nearby merchants.
-
B.
Deliveroo
Deliveroo is a British online food delivery company that partners with restaurants and couriers to deliver meals to customers via its app and website.
-
C.
DoorDash
DoorDash is a leading American on-demand food delivery and logistics platform that connects customers with local restaurants and merchants through its mobile app and website.
-
D.
Uber Eats
Uber Eats is an online food delivery platform operated by Uber that connects users with local restaurants and couriers for on-demand meal delivery.
-
E.
Grubhub
Grubhub is a major U.S.-based online food ordering and delivery platform that connects diners with local restaurants through its website and mobile app.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f17ea0608190955ac3474f6da7bb |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802bc25908190ad444de63b7526a0 |
completed | March 28, 2026, 4:33 p.m. |
Created at: March 27, 2026, 3:06 p.m.