Triple
T5497771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apollo Telescope Mount |
E144251
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object |
OSO series
The OSO series was a group of early NASA Orbiting Solar Observatory satellites designed to study the Sun’s ultraviolet and X-ray emissions from space.
|
E531792
|
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: OSO series | Statement: [Apollo Telescope Mount, precededBy, OSO series]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OSO series Context triple: [Apollo Telescope Mount, precededBy, OSO series]
-
A.
OSO
OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
-
B.
K-Os
K-Os is a Canadian rapper, singer, songwriter, and producer known for his genre-blending style that fuses hip hop with rock, reggae, and alternative music.
-
C.
Série 4000
Série 4000 is a class of high-speed electric multiple unit trains used by Comboios de Portugal for its Alfa Pendular premium intercity services.
-
D.
Oss
Oss is a municipality and industrial city in the southern Netherlands, known historically for its pharmaceutical and meat-processing industries.
-
E.
O.N.S.
O.N.S. is the post-nominal abbreviation used by recipients of the Royal Norwegian Order of St. Olav.
- 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: OSO series Triple: [Apollo Telescope Mount, precededBy, OSO series]
Generated description
The OSO series was a group of early NASA Orbiting Solar Observatory satellites designed to study the Sun’s ultraviolet and X-ray emissions from space.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OSO series Target entity description: The OSO series was a group of early NASA Orbiting Solar Observatory satellites designed to study the Sun’s ultraviolet and X-ray emissions from space.
-
A.
OSO
OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
-
B.
K-Os
K-Os is a Canadian rapper, singer, songwriter, and producer known for his genre-blending style that fuses hip hop with rock, reggae, and alternative music.
-
C.
Série 4000
Série 4000 is a class of high-speed electric multiple unit trains used by Comboios de Portugal for its Alfa Pendular premium intercity services.
-
D.
Oss
Oss is a municipality and industrial city in the southern Netherlands, known historically for its pharmaceutical and meat-processing industries.
-
E.
O.N.S.
O.N.S. is the post-nominal abbreviation used by recipients of the Royal Norwegian Order of St. Olav.
- 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_69c008f5a2748190bce7a39aabf87a6d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01b8f28448190bfd58c36798d7b75 |
completed | March 22, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0278d78dc81908de78e2d3f5c71ed |
completed | March 22, 2026, 5:31 p.m. |
| NEDg | Description generation | batch_69c03d15e8d48190b08d0903621fbdcb |
completed | March 22, 2026, 7:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c03daa883c8190a787c40965408132 |
completed | March 22, 2026, 7:06 p.m. |
Created at: March 22, 2026, 3:32 p.m.