Triple
T3385031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quaker State |
E71279
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Quaker State |
E71279
|
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: Quaker State | Statement: [Quaker State, shortName, Quaker State]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quaker State Context triple: [Quaker State, shortName, Quaker State]
-
A.
Quaker State
chosen
Quaker State is a nickname for the U.S. state of Pennsylvania, referencing its historical roots in the Quaker religious community.
-
B.
Bama
Bama is an alternative name for the Bamar, the dominant ethnic group of Myanmar known for their significant cultural and political influence in the country.
-
C.
Shelby
Shelby is a fictional character known for serving as a coach, typically portrayed as a mentor and leader within a sports or team setting.
-
D.
Toyota, West Virginia
Toyota, West Virginia is an unincorporated community in Boone County known for sharing its name with the Japanese automaker’s headquarters city, Toyota City.
-
E.
Aiken
Aiken is a variant spelling of the surname Aitken, which is of Scottish origin.
- 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_69ad85a8fd9c819095ecedf838d2bf1b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb5ee5e188190912dcea494a12038 |
completed | March 8, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b33452d79081909bf6955289e0dece |
completed | March 12, 2026, 9:46 p.m. |
Created at: March 8, 2026, 3:14 p.m.