Triple
T12514708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GNU As |
E299165
|
entity |
| Predicate | supportsTarget |
P5090
|
FINISHED |
| Object |
M32R
M32R is a 32-bit RISC microprocessor architecture developed by Mitsubishi (later Renesas) for embedded systems and low-power applications.
|
E986963
|
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: M32R | Statement: [GNU As, supportsTarget, M32R]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M32R Context triple: [GNU As, supportsTarget, M32R]
-
A.
M32
M32 is a compact dwarf elliptical galaxy that orbits the Andromeda Galaxy within the Local Group.
-
B.
M-32
M-32 is an east–west state trunkline highway in northern Michigan that connects several inland communities across the northern Lower Peninsula.
-
C.
M2HB
The M2HB is a heavy-barrel variant of the Browning .50 caliber machine gun, widely used for its durability and sustained fire capability in ground, vehicle, and naval mounts.
-
D.
R32
R32 is a regional commuter rail line in Catalonia, Spain, operated as part of the Rodalies de Catalunya network.
-
E.
R32
The R32 is a high-performance, all-wheel-drive variant of the Volkswagen Golf Mk4 featuring a powerful VR6 engine and sport-tuned components.
- 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: M32R Triple: [GNU As, supportsTarget, M32R]
Generated description
M32R is a 32-bit RISC microprocessor architecture developed by Mitsubishi (later Renesas) for embedded systems and low-power applications.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M32R Target entity description: M32R is a 32-bit RISC microprocessor architecture developed by Mitsubishi (later Renesas) for embedded systems and low-power applications.
-
A.
M32
M32 is a compact dwarf elliptical galaxy that orbits the Andromeda Galaxy within the Local Group.
-
B.
M-32
M-32 is an east–west state trunkline highway in northern Michigan that connects several inland communities across the northern Lower Peninsula.
-
C.
M2HB
The M2HB is a heavy-barrel variant of the Browning .50 caliber machine gun, widely used for its durability and sustained fire capability in ground, vehicle, and naval mounts.
-
D.
R32
R32 is a regional commuter rail line in Catalonia, Spain, operated as part of the Rodalies de Catalunya network.
-
E.
R32
The R32 is a high-performance, all-wheel-drive variant of the Volkswagen Golf Mk4 featuring a powerful VR6 engine and sport-tuned components.
- 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_69d9541e752c8190bf12d2b5a37b53df |
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_69f64ce1b0ec8190bcbd245255e548b5 |
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.