Triple
T4046342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Proton rocket |
E84074
|
entity |
| Predicate | upperStageOptions |
P37431
|
FINISHED |
| Object |
Briz-M
Briz-M is a Russian expendable upper stage used to place payloads into high orbits, most commonly in combination with Proton launch vehicles.
|
E408520
|
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: Briz-M | Statement: [Proton rocket, upperStageOptions, Briz-M]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Briz-M Context triple: [Proton rocket, upperStageOptions, Briz-M]
-
A.
Brenz
The Brenz is a river in southern Germany that flows through Baden-Württemberg and Bavaria before joining the Danube.
-
B.
Blisk
Blisk is a fictional setting or universe in which the character or concept known as Blink appears or is utilized.
-
C.
Brupass
Brupass is an integrated public transport ticketing system that allows seamless travel across multiple operators and modes within the Brussels metropolitan area.
-
D.
M-153
M-153 is a state trunkline highway in Michigan, commonly known as Ford Road, that serves as a major east–west arterial route through the Detroit metropolitan area.
-
E.
M51 Isherman
The M51 Isherman is an Israeli-upgraded version of the Sherman tank, fitted with a powerful 105 mm gun and modernized systems for improved performance in mid-20th-century conflicts.
- 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: Briz-M Triple: [Proton rocket, upperStageOptions, Briz-M]
Generated description
Briz-M is a Russian expendable upper stage used to place payloads into high orbits, most commonly in combination with Proton launch vehicles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Briz-M Target entity description: Briz-M is a Russian expendable upper stage used to place payloads into high orbits, most commonly in combination with Proton launch vehicles.
-
A.
Brenz
The Brenz is a river in southern Germany that flows through Baden-Württemberg and Bavaria before joining the Danube.
-
B.
Blisk
Blisk is a fictional setting or universe in which the character or concept known as Blink appears or is utilized.
-
C.
Brupass
Brupass is an integrated public transport ticketing system that allows seamless travel across multiple operators and modes within the Brussels metropolitan area.
-
D.
M-153
M-153 is a state trunkline highway in Michigan, commonly known as Ford Road, that serves as a major east–west arterial route through the Detroit metropolitan area.
-
E.
M51 Isherman
The M51 Isherman is an Israeli-upgraded version of the Sherman tank, fitted with a powerful 105 mm gun and modernized systems for improved performance in mid-20th-century conflicts.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af01994b0c8190b34af36acadad5c6 |
completed | March 9, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b55652228c8190a9f301676deb0055 |
completed | March 14, 2026, 12:36 p.m. |
| NEDg | Description generation | batch_69b556fec4708190b221893ec35f1a38 |
completed | March 14, 2026, 12:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b557f73cbc8190b904089ab0fa97d6 |
completed | March 14, 2026, 12:43 p.m. |
Created at: March 9, 2026, 3:37 p.m.