Triple
T5623398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luna 3 |
E147661
|
entity |
| Predicate | spacecraftBus |
P12569
|
FINISHED |
| Object |
E-2A
E-2A was the Soviet spacecraft bus platform used for early Luna missions such as Luna 3, which photographed the Moon’s far side.
|
E534987
|
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: E-2A | Statement: [Luna 3, spacecraftBus, E-2A]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E-2A Context triple: [Luna 3, spacecraftBus, E-2A]
-
A.
E-27
E-27 is the station code assigned to one of the platforms or lines serving Tokyo’s major transit hub, Shinjuku Station.
-
B.
E-3
E-3 is a U.S. Air Force airborne warning and control system (AWACS) aircraft based on the Boeing 707 airframe, used for long-range surveillance, command, and control.
-
C.
E21
E21 is the internal designation for the first generation of the BMW 3 Series compact executive car, produced in the 1970s and early 1980s.
-
D.
E20
E20 is a major trans-European route running west–east across several countries from Ireland through the United Kingdom and northern Europe to Russia.
-
E.
E 200
The E 200 is a Mercedes-Benz E-Class executive sedan variant known for its balance of comfort, technology, and efficient performance.
- 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: E-2A Triple: [Luna 3, spacecraftBus, E-2A]
Generated description
E-2A was the Soviet spacecraft bus platform used for early Luna missions such as Luna 3, which photographed the Moon’s far side.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: E-2A Target entity description: E-2A was the Soviet spacecraft bus platform used for early Luna missions such as Luna 3, which photographed the Moon’s far side.
-
A.
E-27
E-27 is the station code assigned to one of the platforms or lines serving Tokyo’s major transit hub, Shinjuku Station.
-
B.
E-3
E-3 is a U.S. Air Force airborne warning and control system (AWACS) aircraft based on the Boeing 707 airframe, used for long-range surveillance, command, and control.
-
C.
E21
E21 is the internal designation for the first generation of the BMW 3 Series compact executive car, produced in the 1970s and early 1980s.
-
D.
E20
E20 is a major trans-European route running west–east across several countries from Ireland through the United Kingdom and northern Europe to Russia.
-
E.
E 200
The E 200 is a Mercedes-Benz E-Class executive sedan variant known for its balance of comfort, technology, and efficient performance.
- 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_69c00906f2a88190a992c66b13d606d4 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02214b4948190b71a9f59499092f6 |
completed | March 22, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04d5da9cc819097281dd6aa405e62 |
completed | March 22, 2026, 8:13 p.m. |
| NEDg | Description generation | batch_69c04edaa7408190811007d27549a35d |
completed | March 22, 2026, 8:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04ff40ce88190a9aa8886c22386e1 |
completed | March 22, 2026, 8:24 p.m. |
Created at: March 22, 2026, 3:40 p.m.