Triple
T3739539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DoorDash |
E79664
|
entity |
| Predicate | acquired |
P2511
|
FINISHED |
| Object | Caviar |
E383940
|
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: Caviar | Statement: [DoorDash, acquired, Caviar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caviar Context triple: [DoorDash, acquired, Caviar]
-
A.
Caviar
chosen
Caviar is a premium food delivery service known for offering curated meals from high-end and local favorite restaurants.
-
B.
Salmon
Salmon is a common name for several species of migratory fish in the family Salmonidae, widely known as a popular food source and for their remarkable upstream spawning journeys.
-
C.
Mejillones
Mejillones is a coastal Chilean port city on the Pacific Ocean, known for its fishing industry and role in regional maritime trade.
-
D.
Salo
Salo is a town in southwestern Finland known for its electronics industry history and location along the Salo River.
-
E.
Tuna
Tuna is a locality in Botkyrka Municipality in Stockholm County, Sweden.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb404b908190b6b4ee583dee3cc9 |
completed | March 8, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e4fce13c8190bedd5c2afe93567c |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:34 p.m.