Triple
T2430474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sturmgewehr 44 |
E52829
|
entity |
| Predicate | laterDesignation |
P7979
|
FINISHED |
| Object |
MP 44
MP 44 is a German World War II-era assault rifle, better known as the Sturmgewehr 44, widely regarded as one of the first modern assault rifles.
|
E264652
|
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: MP 44 | Statement: [Sturmgewehr 44, laterDesignation, MP 44]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MP 44 Context triple: [Sturmgewehr 44, laterDesignation, MP 44]
-
A.
M-45
M-45 is a state highway in Michigan that runs east–west through the Grand Rapids area toward the Lake Michigan shoreline.
-
B.
MP 14
MP 14 is a modern rubber-tyred train model used on the Paris Métro, designed for improved energy efficiency, automation, and passenger comfort.
-
C.
M44
M44 is an open star cluster in the constellation Cancer, also known as the Beehive Cluster or Praesepe, and is one of the nearest and most prominent clusters visible to the naked eye.
-
D.
M4
M4 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across Lake Geneva.
-
E.
Fussilat
Fussilat is the 41st chapter of the Qur’an, known for its detailed exposition of divine revelation, signs in creation, and the consequences of accepting or rejecting the message.
- 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: MP 44 Triple: [Sturmgewehr 44, laterDesignation, MP 44]
Generated description
MP 44 is a German World War II-era assault rifle, better known as the Sturmgewehr 44, widely regarded as one of the first modern assault rifles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MP 44 Target entity description: MP 44 is a German World War II-era assault rifle, better known as the Sturmgewehr 44, widely regarded as one of the first modern assault rifles.
-
A.
M-45
M-45 is a state highway in Michigan that runs east–west through the Grand Rapids area toward the Lake Michigan shoreline.
-
B.
MP 14
MP 14 is a modern rubber-tyred train model used on the Paris Métro, designed for improved energy efficiency, automation, and passenger comfort.
-
C.
M44
M44 is an open star cluster in the constellation Cancer, also known as the Beehive Cluster or Praesepe, and is one of the nearest and most prominent clusters visible to the naked eye.
-
D.
M4
M4 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across Lake Geneva.
-
E.
Fussilat
Fussilat is the 41st chapter of the Qur’an, known for its detailed exposition of divine revelation, signs in creation, and the consequences of accepting or rejecting the message.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc99fcd048190a85b95a9a8ae6d4d |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf68d6a481909acd43eb31660f0e |
completed | March 9, 2026, 12:39 p.m. |
| NEDg | Description generation | batch_69aec16e9158819087139fd3e86785b0 |
completed | March 9, 2026, 12:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aec2065b608190bcdc4dd2d82be9d6 |
completed | March 9, 2026, 12:50 p.m. |
Created at: March 6, 2026, 9:43 p.m.