Triple
T7328828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mentor Graphics |
E168945
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object |
PADS
PADS is an electronic design automation (EDA) software suite from Mentor Graphics used primarily for PCB layout and design.
|
E656351
|
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: PADS | Statement: [Mentor Graphics, product, PADS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PADS Context triple: [Mentor Graphics, product, PADS]
-
A.
PCB
PCB is a popular shorthand name for Panama City Beach, a well-known tourist destination on Florida’s Gulf Coast famed for its white-sand beaches and spring break scene.
-
B.
PCB
The PCB (Pakistan Cricket Board) is the national governing body responsible for organizing, regulating, and promoting cricket in Pakistan, including managing the Pakistan national cricket team.
-
C.
PAD
PAD is the three-letter National Rail station code for London Paddington, a major railway terminus in central London.
-
D.
PADL
PADL (Practical Aspects of Declarative Languages) is an academic conference focused on the design, implementation, and application of declarative programming languages.
-
E.
PTC
PTC is an advanced safety system used on railroads to automatically prevent train collisions, overspeed derailments, and other dangerous movements.
- 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: PADS Triple: [Mentor Graphics, product, PADS]
Generated description
PADS is an electronic design automation (EDA) software suite from Mentor Graphics used primarily for PCB layout and design.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PADS Target entity description: PADS is an electronic design automation (EDA) software suite from Mentor Graphics used primarily for PCB layout and design.
-
A.
PCB
PCB is a popular shorthand name for Panama City Beach, a well-known tourist destination on Florida’s Gulf Coast famed for its white-sand beaches and spring break scene.
-
B.
PCB
The PCB (Pakistan Cricket Board) is the national governing body responsible for organizing, regulating, and promoting cricket in Pakistan, including managing the Pakistan national cricket team.
-
C.
PAD
PAD is the three-letter National Rail station code for London Paddington, a major railway terminus in central London.
-
D.
PADL
PADL (Practical Aspects of Declarative Languages) is an academic conference focused on the design, implementation, and application of declarative programming languages.
-
E.
PTC
PTC is an advanced safety system used on railroads to automatically prevent train collisions, overspeed derailments, and other dangerous movements.
- 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_69c68a54cacc81908e3b773441f19566 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0a879b88190bef0fb6cbae411ff |
completed | March 27, 2026, 9:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ef16f35881909fffba1df072f0d6 |
completed | March 28, 2026, 3:09 p.m. |
| NEDg | Description generation | batch_69c7ef9665748190bddc45f234af7a7b |
completed | March 28, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7f02f95508190a7b323f3f94e4a0f |
completed | March 28, 2026, 3:13 p.m. |
Created at: March 27, 2026, 3:03 p.m.