Triple
T15264826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super GT |
E364871
|
entity |
| Predicate | governingBody |
P46
|
FINISHED |
| Object |
GT Association
GT Association is the organizing and regulatory body responsible for overseeing Japan’s Super GT sports car racing series.
|
E1147472
|
NE FINISHED |
How this triple was built (4 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: GT Association | Statement: [Super GT, governingBody, GT Association]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GT Association Context triple: [Super GT, governingBody, GT Association]
-
A.
GLE
GLE is the stock ticker symbol for Société Générale, a major French multinational banking and financial services company.
-
B.
GLE
The Mercedes-Benz GLE is a mid-size luxury SUV known for its premium comfort, advanced technology, and strong performance within the brand’s lineup.
-
C.
GLE
GLE is the FAA airport code for Gainesville Municipal Airport in Gainesville, Texas.
-
D.
GLE
GLE is the vehicle registration code assigned to the town of Lębork in northern Poland.
-
E.
GSN
GSN is the FAA airport code for Saipan International Airport, the primary airport serving Saipan in the Northern Mariana Islands.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: GT Association Triple: [Super GT, governingBody, GT Association]
Generated description
GT Association is the organizing and regulatory body responsible for overseeing Japan’s Super GT sports car racing series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GT Association Target entity description: GT Association is the organizing and regulatory body responsible for overseeing Japan’s Super GT sports car racing series.
-
A.
GLE
GLE is the stock ticker symbol for Société Générale, a major French multinational banking and financial services company.
-
B.
GLE
The Mercedes-Benz GLE is a mid-size luxury SUV known for its premium comfort, advanced technology, and strong performance within the brand’s lineup.
-
C.
GLE
GLE is the FAA airport code for Gainesville Municipal Airport in Gainesville, Texas.
-
D.
GLE
GLE is the vehicle registration code assigned to the town of Lębork in northern Poland.
-
E.
GSN
GSN is the FAA airport code for Saipan International Airport, the primary airport serving Saipan in the Northern Mariana Islands.
- F. None of above. chosen
Provenance (5 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00851c5b88190a296b6a105d3ee30 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5fdc21881909d87062db6fb8fb7 |
completed | May 9, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69fee714cf6c81908dc4427590eeae85 |
completed | May 9, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feeae4731081909964bd8b1ea3dd7a |
completed | May 9, 2026, 8:05 a.m. |
Created at: April 10, 2026, 3:14 a.m.