Triple
T4531463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosette Nebula |
E106307
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Sh 2-275
Sh 2-275 is a large, circular emission nebula in the constellation Monoceros, notable for its active star-forming region and striking rosette-like appearance.
|
E450953
|
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: Sh 2-275 | Statement: [Rosette Nebula, hasAlternativeName, Sh 2-275]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sh 2-275 Context triple: [Rosette Nebula, hasAlternativeName, Sh 2-275]
-
A.
SH 21-76
SH 21-76 is the U.S. Army’s Ranger Handbook, a field manual that outlines the doctrine, tactics, techniques, and procedures for Army Rangers.
-
B.
SH 45
SH 45 is a state highway in Colorado that serves as a key north–south route in the city of Pueblo.
-
C.
SH8
SH8 is a scenic coastal highway in southern Albania that winds along the Albanian Riviera, connecting key seaside towns and offering views of the Ionian Sea.
-
D.
S-23
S-23 is an International Hydrographic Organization publication that standardizes the naming and limits of the world’s oceans and seas.
-
E.
Shinsen
Shinsen is a neighborhood in Tokyo’s Shibuya ward known for its residential streets, local eateries, and proximity to the bustling Shibuya Station area.
- 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: Sh 2-275 Triple: [Rosette Nebula, hasAlternativeName, Sh 2-275]
Generated description
Sh 2-275 is a large, circular emission nebula in the constellation Monoceros, notable for its active star-forming region and striking rosette-like appearance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sh 2-275 Target entity description: Sh 2-275 is a large, circular emission nebula in the constellation Monoceros, notable for its active star-forming region and striking rosette-like appearance.
-
A.
SH 21-76
SH 21-76 is the U.S. Army’s Ranger Handbook, a field manual that outlines the doctrine, tactics, techniques, and procedures for Army Rangers.
-
B.
SH 45
SH 45 is a state highway in Colorado that serves as a key north–south route in the city of Pueblo.
-
C.
SH8
SH8 is a scenic coastal highway in southern Albania that winds along the Albanian Riviera, connecting key seaside towns and offering views of the Ionian Sea.
-
D.
S-23
S-23 is an International Hydrographic Organization publication that standardizes the naming and limits of the world’s oceans and seas.
-
E.
Shinsen
Shinsen is a neighborhood in Tokyo’s Shibuya ward known for its residential streets, local eateries, and proximity to the bustling Shibuya Station area.
- 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd579d7a88819083eb0620ca176f2e |
completed | March 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdacde72588190868e3ade922d6033 |
completed | March 20, 2026, 8:23 p.m. |
| NEDg | Description generation | batch_69bdb25a2d5081908a2341496753fa3a |
completed | March 20, 2026, 8:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdb2b33d608190a13d6d1ab3f1c513 |
completed | March 20, 2026, 8:48 p.m. |
Created at: March 20, 2026, 1:03 p.m.