Triple
T35987559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2004 World Rally Championship |
E1040753
|
entity |
| Predicate | featuredManufacturerTeam |
P131747
|
FINISHED |
| Object | Citroën Total World Rally Team |
E1206108
|
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: Citroën Total World Rally Team | Statement: [2004 World Rally Championship, featuredManufacturerTeam, Citroën Total World Rally Team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredManufacturerTeam Context triple: [2004 World Rally Championship, featuredManufacturerTeam, Citroën Total World Rally Team]
-
A.
manufacturerTeamFor
Indicates a relationship where a specific team is responsible for manufacturing or producing a particular product or item.
-
B.
featuredTeam
Indicates that a particular team is highlighted or given special prominence in a given context or presentation.
-
C.
teamManufacturer
Indicates that a manufacturer is responsible for producing or supplying the equipment, vehicles, or components used by a particular team.
-
D.
featuresTeams
chosen
Indicates that something prominently presents or includes specific teams as a central element or focus.
-
E.
racingTeam
Indicates that one entity is a racing team associated with, employing, or represented by the other entity in a competitive racing context.
- F. None of above.
Provenance (4 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_69f76e28293c8190ae3f4e2208b87117 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38bfe824b08190810cff02a3bbe883 |
completed | June 22, 2026, 4:54 a.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:07 p.m.