Triple
T2726453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SOHO |
E60204
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object |
SOHO
SOHO is a NASA and ESA space observatory dedicated to studying the Sun’s interior, atmosphere, and solar wind, as well as monitoring space weather.
|
E292476
|
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: SOHO | Statement: [SOHO, acronym, SOHO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SOHO Context triple: [SOHO, acronym, SOHO]
-
A.
Unisphere
The Unisphere is a giant stainless-steel globe sculpture in Flushing Meadows–Corona Park, Queens, best known as an enduring landmark celebrating global interdependence and space-age optimism.
-
B.
Sunsphere
The Sunsphere is a 266-foot-tall, gold-glass observation tower built as the symbol of the 1982 World's Fair in Knoxville, Tennessee.
-
C.
Savvis Center
Savvis Center was the former name of the multi-purpose indoor arena in St. Louis, Missouri, now known as the Enterprise Center, which hosts professional hockey games and major entertainment events.
-
D.
Westway
Westway is an elevated urban motorway in west London that forms a major part of the A40 route into the city.
-
E.
SoMa
SoMa is a large, formerly industrial neighborhood in San Francisco known for its tech offices, lofts, nightlife, and cultural institutions.
- 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: SOHO Triple: [SOHO, acronym, SOHO]
Generated description
SOHO is a NASA and ESA space observatory dedicated to studying the Sun’s interior, atmosphere, and solar wind, as well as monitoring space weather.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SOHO Target entity description: SOHO is a NASA and ESA space observatory dedicated to studying the Sun’s interior, atmosphere, and solar wind, as well as monitoring space weather.
-
A.
Unisphere
The Unisphere is a giant stainless-steel globe sculpture in Flushing Meadows–Corona Park, Queens, best known as an enduring landmark celebrating global interdependence and space-age optimism.
-
B.
Sunsphere
The Sunsphere is a 266-foot-tall, gold-glass observation tower built as the symbol of the 1982 World's Fair in Knoxville, Tennessee.
-
C.
Savvis Center
Savvis Center was the former name of the multi-purpose indoor arena in St. Louis, Missouri, now known as the Enterprise Center, which hosts professional hockey games and major entertainment events.
-
D.
Westway
Westway is an elevated urban motorway in west London that forms a major part of the A40 route into the city.
-
E.
SoMa
SoMa is a large, formerly industrial neighborhood in San Francisco known for its tech offices, lofts, nightlife, and cultural institutions.
- 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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdace9f308190964a064859612cd6 |
completed | March 7, 2026, 7:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb6982974819089d0ef4a59cc4085 |
completed | March 10, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69afb7166d788190ac219fe3c3e164fe |
completed | March 10, 2026, 6:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb7acf3588190813bde4428dfe5f4 |
completed | March 10, 2026, 6:18 a.m. |
Created at: March 6, 2026, 9:56 p.m.