Triple
T992625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sagittarius Dwarf Spheroidal Galaxy |
E21424
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
SagDEG
SagDEG is a small, elongated dwarf spheroidal galaxy currently being tidally disrupted and absorbed by the Milky Way, located in the direction of the constellation Sagittarius.
|
E117412
|
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: SagDEG | Statement: [Sagittarius Dwarf Spheroidal Galaxy, alsoKnownAs, SagDEG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SagDEG Context triple: [Sagittarius Dwarf Spheroidal Galaxy, alsoKnownAs, SagDEG]
-
A.
DAG
DAG is the National Rail station code for Dalgety Bay railway station in Fife, Scotland.
-
B.
SACT
SACT is the Supreme Allied Commander Transformation, the NATO strategic commander responsible for leading the alliance’s military transformation and capability development.
-
C.
SSA
SSA is a professional scientific organization dedicated to advancing the study and understanding of earthquakes and seismic phenomena.
-
D.
SSA
SSA is the U.S. federal agency responsible for administering Social Security programs, including retirement, disability, and survivors benefits.
-
E.
SAS
SAS is an elite special forces unit of the British Army renowned for its covert operations, counterterrorism expertise, and rigorous selection process.
- 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: SagDEG Triple: [Sagittarius Dwarf Spheroidal Galaxy, alsoKnownAs, SagDEG]
Generated description
SagDEG is a small, elongated dwarf spheroidal galaxy currently being tidally disrupted and absorbed by the Milky Way, located in the direction of the constellation Sagittarius.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SagDEG Target entity description: SagDEG is a small, elongated dwarf spheroidal galaxy currently being tidally disrupted and absorbed by the Milky Way, located in the direction of the constellation Sagittarius.
-
A.
DAG
DAG is the National Rail station code for Dalgety Bay railway station in Fife, Scotland.
-
B.
SACT
SACT is the Supreme Allied Commander Transformation, the NATO strategic commander responsible for leading the alliance’s military transformation and capability development.
-
C.
SSA
SSA is a professional scientific organization dedicated to advancing the study and understanding of earthquakes and seismic phenomena.
-
D.
SSA
SSA is the U.S. federal agency responsible for administering Social Security programs, including retirement, disability, and survivors benefits.
-
E.
SAS
SAS is an elite special forces unit of the British Army renowned for its covert operations, counterterrorism expertise, and rigorous selection process.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4c3f7b48190a31308bdc09817c6 |
completed | March 1, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac258f823c8190afeff79b6a4df911 |
completed | March 7, 2026, 1:18 p.m. |
| NEDg | Description generation | batch_69ac261af46c81908d61b29ea97c0884 |
completed | March 7, 2026, 1:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac26ee09f0819098a7b1adcbb79053 |
completed | March 7, 2026, 1:23 p.m. |
Created at: March 1, 2026, 7:41 p.m.