Triple
T4323009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | .50 caliber M2 Browning machine gun |
E96562
|
entity |
| Predicate | notableVariant |
P4680
|
FINISHED |
| Object |
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.
|
E432315
|
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: M2HB | Statement: [.50 caliber M2 Browning machine gun, notableVariant, M2HB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M2HB Context triple: [.50 caliber M2 Browning machine gun, notableVariant, M2HB]
-
A.
M2
M2 is a major British motorway that connects London with the port town of Dover in Kent, serving as an important route to the Channel ports.
-
B.
M2
M2 is the second line of the Warsaw Metro, running east–west across the city and connecting key districts on both sides of the Vistula River.
-
C.
M2
M2 is one of the main lines of the Copenhagen Metro, connecting central Copenhagen with key districts and the airport.
-
D.
M2
M2 is a boat line that operates as part of Geneva’s public transport network, providing passenger services across the city’s waters.
-
E.
M2
M2 was the original name of MTV2, a U.S. cable television channel that focused on music videos and youth-oriented programming.
- 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: M2HB Triple: [.50 caliber M2 Browning machine gun, notableVariant, M2HB]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M2HB Target entity description: 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.
-
A.
M2
M2 is a major British motorway that connects London with the port town of Dover in Kent, serving as an important route to the Channel ports.
-
B.
M2
M2 is the second line of the Warsaw Metro, running east–west across the city and connecting key districts on both sides of the Vistula River.
-
C.
M2
M2 is one of the main lines of the Copenhagen Metro, connecting central Copenhagen with key districts and the airport.
-
D.
M2
M2 was the original name of MTV2, a U.S. cable television channel that focused on music videos and youth-oriented programming.
-
E.
M2
M2 is a metro line in Lausanne, Switzerland, forming part of the city's urban rapid transit network.
- 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_69b345422aac81909ddbadae437d122e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351177eb88190b89fa49a88add5e8 |
completed | March 12, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d09165a8819089fbb9b9ed4c82ff |
completed | March 14, 2026, 9:18 p.m. |
| NEDg | Description generation | batch_69b5d4607a688190a3a7352579ea5ee7 |
completed | March 14, 2026, 9:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5d51068dc819099ac28361188dcc4 |
completed | March 14, 2026, 9:37 p.m. |
Created at: March 12, 2026, 11:12 p.m.