Triple
T9234681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMW X5 |
E221906
|
entity |
| Predicate | thirdGenerationCode |
P28522
|
FINISHED |
| Object |
F15
F15 is BMW’s internal model designation for the third-generation X5 luxury midsize SUV produced in the mid-2010s.
|
E787514
|
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: F15 | Statement: [BMW X5, thirdGenerationCode, F15]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: F15 Context triple: [BMW X5, thirdGenerationCode, F15]
-
A.
F-11
F-11 is the station code assigned to Nishi-Waseda Station on Tokyo Metro’s Fukutoshin Line in Tokyo, Japan.
-
B.
F-12
F-12 is the station code assigned to Higashi-Shinjuku Station on Tokyo’s subway network.
-
C.
TAF15
TAF15 is an RNA-binding protein and transcription factor associated with gene regulation and implicated in certain cancers and neurodegenerative diseases.
-
D.
F-1
The F-1 was a powerful American liquid-fueled rocket engine used on the Saturn V launch vehicle to propel Apollo missions toward the Moon.
-
E.
F-1
F-1 is the half-ton light-duty pickup model in Ford’s first postwar “Bonus-Built” truck line, produced from 1948 to 1952.
- 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: F15 Triple: [BMW X5, thirdGenerationCode, F15]
Generated description
F15 is BMW’s internal model designation for the third-generation X5 luxury midsize SUV produced in the mid-2010s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: F15 Target entity description: F15 is BMW’s internal model designation for the third-generation X5 luxury midsize SUV produced in the mid-2010s.
-
A.
F-11
F-11 is the station code assigned to Nishi-Waseda Station on Tokyo Metro’s Fukutoshin Line in Tokyo, Japan.
-
B.
F-12
F-12 is the station code assigned to Higashi-Shinjuku Station on Tokyo’s subway network.
-
C.
TAF15
TAF15 is an RNA-binding protein and transcription factor associated with gene regulation and implicated in certain cancers and neurodegenerative diseases.
-
D.
F-1
The F-1 was a powerful American liquid-fueled rocket engine used on the Saturn V launch vehicle to propel Apollo missions toward the Moon.
-
E.
F-1
F-1 is the half-ton light-duty pickup model in Ford’s first postwar “Bonus-Built” truck line, produced from 1948 to 1952.
- 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccee1cca0c8190bf587f54236c9e45 |
completed | April 1, 2026, 10:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077c31f588190bae2af98e3b71c38 |
completed | April 4, 2026, 2:30 a.m. |
| NEDg | Description generation | batch_69d07bc3c5cc8190a35561279ff0f1a2 |
completed | April 4, 2026, 2:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d07c725a0c8190bf905461a38ef65e |
completed | April 4, 2026, 2:50 a.m. |
Created at: March 30, 2026, 7:29 p.m.