Triple
T5100962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CoreMotion |
E114978
|
entity |
| Predicate | APIClass |
P61111
|
FINISHED |
| Object |
CMLogItem
CMLogItem is a Core Motion framework class that represents a single timestamped motion-related log entry used for recording and analyzing motion data on Apple platforms.
|
E494404
|
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: CMLogItem | Statement: [CoreMotion, APIClass, CMLogItem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CMLogItem Context triple: [CoreMotion, APIClass, CMLogItem]
-
A.
Logierait
Logierait is a small village in Perth and Kinross, Scotland, known as the birthplace of the philosopher and historian Adam Ferguson.
-
B.
Logres
Logres is the legendary kingdom associated with King Arthur, often depicted as the idealized realm of Camelot and the Knights of the Round Table in Arthurian romance.
-
C.
CAMTR
CAMTR is the UN/LOCODE identifier assigned to the Port of Montreal in Canada for international shipping and logistics.
-
D.
CMGC
The CMGC was a specialized Canadian military unit formed during World War I to operate machine guns in support of infantry operations.
-
E.
CMI
CMI is the three-letter IATA airport code for University of Illinois Willard Airport, serving the Champaign–Urbana area in Illinois, USA.
- 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: CMLogItem Triple: [CoreMotion, APIClass, CMLogItem]
Generated description
CMLogItem is a Core Motion framework class that represents a single timestamped motion-related log entry used for recording and analyzing motion data on Apple platforms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CMLogItem Target entity description: CMLogItem is a Core Motion framework class that represents a single timestamped motion-related log entry used for recording and analyzing motion data on Apple platforms.
-
A.
Logierait
Logierait is a small village in Perth and Kinross, Scotland, known as the birthplace of the philosopher and historian Adam Ferguson.
-
B.
Logres
Logres is the legendary kingdom associated with King Arthur, often depicted as the idealized realm of Camelot and the Knights of the Round Table in Arthurian romance.
-
C.
CAMTR
CAMTR is the UN/LOCODE identifier assigned to the Port of Montreal in Canada for international shipping and logistics.
-
D.
CMGC
The CMGC was a specialized Canadian military unit formed during World War I to operate machine guns in support of infantry operations.
-
E.
CMI
CMI is the three-letter IATA airport code for University of Illinois Willard Airport, serving the Champaign–Urbana area in Illinois, USA.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd77ccb19c8190844c628ff7cfcca2 |
completed | March 20, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba8d24388190882b9933a2a798c4 |
completed | March 21, 2026, 3:34 p.m. |
| NEDg | Description generation | batch_69bebbe7e8e081909814e97001f8cf89 |
completed | March 21, 2026, 3:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bebd33f25c8190a5d9b78ef71847e3 |
completed | March 21, 2026, 3:45 p.m. |
Created at: March 20, 2026, 1:40 p.m.