Triple
T11956530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Subaru World Rally Team |
E284566
|
entity |
| Predicate | mainSponsor |
P737
|
FINISHED |
| Object |
STI
STI (Subaru Tecnica International) is Subaru’s motorsports and high-performance division, known for developing and tuning the brand’s rally and performance vehicles.
|
E956117
|
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: STI | Statement: [Subaru World Rally Team, mainSponsor, STI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: STI Context triple: [Subaru World Rally Team, mainSponsor, STI]
-
A.
STI
STI is the School of Engineering at EPFL, a major faculty focused on cutting-edge research and education in engineering and technology.
-
B.
STIS
STIS is a versatile instrument on the Hubble Space Telescope that provides high-resolution imaging and spectroscopy across a wide range of wavelengths.
-
C.
STD
STD is an Internet Standards (STD) series designation used by the IETF to label documents that have reached full Internet Standard status.
-
D.
STRI
STRI is the acronym for the Smithsonian Tropical Research Institute, a leading center for tropical biology and conservation research based in Panama.
-
E.
ST
ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
- 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: STI Triple: [Subaru World Rally Team, mainSponsor, STI]
Generated description
STI (Subaru Tecnica International) is Subaru’s motorsports and high-performance division, known for developing and tuning the brand’s rally and performance vehicles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: STI Target entity description: STI (Subaru Tecnica International) is Subaru’s motorsports and high-performance division, known for developing and tuning the brand’s rally and performance vehicles.
-
A.
STI
STI is the School of Engineering at EPFL, a major faculty focused on cutting-edge research and education in engineering and technology.
-
B.
STIS
STIS is a versatile instrument on the Hubble Space Telescope that provides high-resolution imaging and spectroscopy across a wide range of wavelengths.
-
C.
STD
STD is an Internet Standards (STD) series designation used by the IETF to label documents that have reached full Internet Standard status.
-
D.
STRI
STRI is the acronym for the Smithsonian Tropical Research Institute, a leading center for tropical biology and conservation research based in Panama.
-
E.
ST
ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90366fda8819083168c93abad27d4 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f459175f808190974ac70431f35c74 |
completed | May 1, 2026, 7:41 a.m. |
| NEDg | Description generation | batch_69f4645ef63881909b46937f73d637a3 |
completed | May 1, 2026, 8:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f465be4db08190882898a17d077019 |
completed | May 1, 2026, 8:35 a.m. |
Created at: April 8, 2026, 9:45 p.m.