Triple
T496928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Space Launch System |
E10313
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SLS
SLS is NASA’s heavy-lift, super-heavy rocket designed to carry astronauts and large payloads beyond low Earth orbit, including missions to the Moon and eventually Mars.
|
E62063
|
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: SLS | Statement: [Space Launch System, abbreviation, SLS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SLS Context triple: [Space Launch System, abbreviation, SLS]
-
A.
SLD
SLD was a particle physics experiment at the SLAC Linear Collider that made precision measurements of electroweak interactions, including properties of the Z boson.
-
B.
SLV
SLV is the three-letter ISO 3166-1 alpha-3 country code assigned to El Salvador.
-
C.
SLT
SLT is a well-equipped, mid-to-upper trim level commonly associated with GMC trucks and SUVs, offering upgraded comfort, technology, and appearance features.
-
D.
SCL
SCL (Substation Configuration Language) is an XML-based language defined by the IEC 61850 standard for modeling, configuring, and exchanging data about electrical substations and their automation systems.
-
E.
LS
LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
- 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: SLS Triple: [Space Launch System, abbreviation, SLS]
Generated description
SLS is NASA’s heavy-lift, super-heavy rocket designed to carry astronauts and large payloads beyond low Earth orbit, including missions to the Moon and eventually Mars.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SLS Target entity description: SLS is NASA’s heavy-lift, super-heavy rocket designed to carry astronauts and large payloads beyond low Earth orbit, including missions to the Moon and eventually Mars.
-
A.
SLD
SLD was a particle physics experiment at the SLAC Linear Collider that made precision measurements of electroweak interactions, including properties of the Z boson.
-
B.
SLV
SLV is the three-letter ISO 3166-1 alpha-3 country code assigned to El Salvador.
-
C.
SLT
SLT is a well-equipped, mid-to-upper trim level commonly associated with GMC trucks and SUVs, offering upgraded comfort, technology, and appearance features.
-
D.
SCL
SCL (Substation Configuration Language) is an XML-based language defined by the IEC 61850 standard for modeling, configuring, and exchanging data about electrical substations and their automation systems.
-
E.
LS
LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f116f1b4819082f88d6c747368ae |
completed | Feb. 28, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a481ee2e348190b26b02990b4fb866 |
completed | March 1, 2026, 6:14 p.m. |
| NEDg | Description generation | batch_69a482749e78819093f8f81090eedfa2 |
completed | March 1, 2026, 6:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a483073dcc8190b05f89a81207d3d2 |
completed | March 1, 2026, 6:18 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.