Triple
T20690392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SO(32) heterotic string theory |
E508535
|
entity |
| Predicate | gaugeGroup |
P5369
|
FINISHED |
| Object |
SO(32)
SO(32) is a special orthogonal Lie group of dimension 496 that appears as one of the two anomaly-free gauge groups in ten-dimensional heterotic string theory.
|
E1445851
|
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: SO(32) | Statement: [SO(32) heterotic string theory, gaugeGroup, SO(32)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SO(32) Context triple: [SO(32) heterotic string theory, gaugeGroup, SO(32)]
-
A.
SOF
SOF refers to Jordan’s elite Special Operations Forces, a highly trained military unit specializing in counterterrorism, unconventional warfare, and rapid-response missions.
-
B.
SOF
SOF is the three-letter IATA airport code for Sofia Airport, the main international airport serving Sofia, the capital of Bulgaria.
-
C.
SOF
SOF is the abbreviation for the Belgian Special Operations Forces, an elite military unit specializing in high-risk, strategic missions.
-
D.
M32
M32 is a compact dwarf elliptical galaxy that orbits the Andromeda Galaxy within the Local Group.
-
E.
D32
D32 is the pennant number of HMS Daring, a Type 45 (Daring-class) air-defence destroyer of the Royal Navy.
- 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: SO(32) Triple: [SO(32) heterotic string theory, gaugeGroup, SO(32)]
Generated description
SO(32) is a special orthogonal Lie group of dimension 496 that appears as one of the two anomaly-free gauge groups in ten-dimensional heterotic string theory.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SO(32) Target entity description: SO(32) is a special orthogonal Lie group of dimension 496 that appears as one of the two anomaly-free gauge groups in ten-dimensional heterotic string theory.
-
A.
SOF
SOF refers to Jordan’s elite Special Operations Forces, a highly trained military unit specializing in counterterrorism, unconventional warfare, and rapid-response missions.
-
B.
SOF
SOF is the three-letter IATA airport code for Sofia Airport, the main international airport serving Sofia, the capital of Bulgaria.
-
C.
SOF
SOF is the abbreviation for the Belgian Special Operations Forces, an elite military unit specializing in high-risk, strategic missions.
-
D.
M32
M32 is a compact dwarf elliptical galaxy that orbits the Andromeda Galaxy within the Local Group.
-
E.
D32
D32 is the pennant number of HMS Daring, a Type 45 (Daring-class) air-defence destroyer of the Royal Navy.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c10cb5588190acb88f2c82fc593a |
completed | April 21, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08d7e226808190bf05b85afb173e36 |
completed | May 16, 2026, 8:47 p.m. |
| NEDg | Description generation | batch_6a08d9ca43288190a2be3d4f63141391 |
completed | May 16, 2026, 8:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08da457ee48190ba18b3e34f117e19 |
completed | May 16, 2026, 8:57 p.m. |
Created at: April 16, 2026, 12:08 p.m.