Triple
T36109062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Japanese Grand Prix |
E1044439
|
entity |
| Predicate | constructorsTitleClinchedBy |
P43074
|
FINISHED |
| Object |
Mercedes
Mercedes is a dominant Formula One constructor and works team that has secured multiple World Constructors' Championships in the modern hybrid era.
|
E1042364
|
NE FINISHED |
How this triple was built (3 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: Mercedes | Statement: [2016 Japanese Grand Prix, constructorsTitleClinchedBy, Mercedes]
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: Mercedes Triple: [2016 Japanese Grand Prix, constructorsTitleClinchedBy, Mercedes]
Generated description
Mercedes is a dominant Formula One constructor and works team that has secured multiple World Constructors' Championships in the modern hybrid era.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructorsTitleClinchedBy Context triple: [2016 Japanese Grand Prix, constructorsTitleClinchedBy, Mercedes]
-
A.
resultedInConstructorsTitleFor
Indicates that one event, action, or condition caused or led to the assignment or creation of a specific constructor’s title for an entity.
-
B.
clinchedBy
chosen
Indicates that a particular outcome, title, or achievement has been definitively secured or guaranteed by a specific entity.
-
C.
titleAcquiredBy
Indicates that a particular title, rank, or designation has been obtained or earned by a specific entity.
-
D.
titleWinner
Indicates that an entity has won a specific title, championship, or formal award.
-
E.
constructorsTitleSeason
Indicates the season in which a constructor (e.g., a racing team) held or was associated with a specific title.
- F. None of above.
Provenance (6 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_69f76e344a4c8190af3858c6d78ba88f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fdbaa226708190b8ed96e93aad38de |
completed | May 8, 2026, 10:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3d177cf0a08190a99029f1fbb1f485 |
completed | June 25, 2026, 11:56 a.m. |
| NEDg | Description generation | batch_6a3d1b961b2881909a6adfd610a70883 |
completed | June 25, 2026, 12:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3d6891789c81909bafb9134234190f |
completed | June 25, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69fdb58b07e48190837e00966de050d4 |
completed | May 8, 2026, 10:06 a.m. |
Created at: May 3, 2026, 4:08 p.m.