Triple
T12517278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Partition Map |
E299220
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
APM
APM is a legacy disk partitioning scheme developed by Apple for organizing volumes on classic Mac OS and early macOS systems.
|
E987006
|
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: APM | Statement: [Apple Partition Map, alsoKnownAs, APM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: APM Context triple: [Apple Partition Map, alsoKnownAs, APM]
-
A.
APM
APM is a major U.S. public radio producer and distributor known for creating and syndicating nationally recognized programs and podcasts.
-
B.
APC
APC is a major Nigerian political party known as the All Progressives Congress, which has produced multiple national leaders and presidents.
-
C.
APC
APC is the three-letter IATA airport code assigned to Napa County Airport in Napa County, California.
-
D.
AMPS
AMPS (Advanced Mobile Phone System) is an early analog mobile phone standard that was widely used in North America before the transition to digital cellular technologies.
-
E.
AppDynamics
AppDynamics is an application performance monitoring and observability company that provides tools to track, analyze, and optimize the performance of software applications and IT infrastructure.
- 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: APM Triple: [Apple Partition Map, alsoKnownAs, APM]
Generated description
APM is a legacy disk partitioning scheme developed by Apple for organizing volumes on classic Mac OS and early macOS systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: APM Target entity description: APM is a legacy disk partitioning scheme developed by Apple for organizing volumes on classic Mac OS and early macOS systems.
-
A.
APM
APM is a major U.S. public radio producer and distributor known for creating and syndicating nationally recognized programs and podcasts.
-
B.
APC
APC is a major Nigerian political party known as the All Progressives Congress, which has produced multiple national leaders and presidents.
-
C.
APC
APC is the three-letter IATA airport code assigned to Napa County Airport in Napa County, California.
-
D.
AMPS
AMPS (Advanced Mobile Phone System) is an early analog mobile phone standard that was widely used in North America before the transition to digital cellular technologies.
-
E.
AppDynamics
AppDynamics is an application performance monitoring and observability company that provides tools to track, analyze, and optimize the performance of software applications and IT infrastructure.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9541f80148190976d1d912fe155d0 |
completed | April 10, 2026, 7:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bbd58b88190baeb99380babf64f |
completed | May 2, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_69f64ce257348190b01179773992d414 |
completed | May 2, 2026, 7:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64da735f48190b051ce173c13e5b2 |
completed | May 2, 2026, 7:16 p.m. |
Created at: April 8, 2026, 9:57 p.m.