Triple
T1538639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Reporter |
E32812
|
entity |
| Predicate | abbreviationOf |
P590
|
FINISHED |
| Object |
So. 3d
So. 3d is the third series of the Southern Reporter, a regional case law reporter publishing appellate court decisions from several southern U.S. states.
|
E176630
|
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. 3d | Statement: [Southern Reporter, abbreviationOf, So. 3d]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: So. 3d Context triple: [Southern Reporter, abbreviationOf, So. 3d]
-
A.
S3
S3 is a line of the Berlin S-Bahn urban rail network that connects various districts across the Berlin metropolitan area.
-
B.
SoDo
SoDo is a neighborhood and industrial district just south of downtown Seattle, Washington, known for its warehouses, stadiums, and transit connections.
-
C.
SO
SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
-
D.
SO
SO is an abbreviation for the Southern Oscillation, a large-scale atmospheric pressure pattern in the tropical Pacific that underlies the El Niño–La Niña climate cycle.
-
E.
SO
SO is the New York Stock Exchange ticker symbol for Southern Company, a major U.S. electric and gas utility holding company based in the Southeast.
- 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. 3d Triple: [Southern Reporter, abbreviationOf, So. 3d]
Generated description
So. 3d is the third series of the Southern Reporter, a regional case law reporter publishing appellate court decisions from several southern U.S. states.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: So. 3d Target entity description: So. 3d is the third series of the Southern Reporter, a regional case law reporter publishing appellate court decisions from several southern U.S. states.
-
A.
S3
S3 is a line of the Berlin S-Bahn urban rail network that connects various districts across the Berlin metropolitan area.
-
B.
SoDo
SoDo is a neighborhood and industrial district just south of downtown Seattle, Washington, known for its warehouses, stadiums, and transit connections.
-
C.
SO
SO is the two-letter ISO 3166-1 alpha-2 country code assigned to Somalia for international identification and data standards.
-
D.
SO
SO is an abbreviation for the Southern Oscillation, a large-scale atmospheric pressure pattern in the tropical Pacific that underlies the El Niño–La Niña climate cycle.
-
E.
SO
SO is the New York Stock Exchange ticker symbol for Southern Company, a major U.S. electric and gas utility holding company based in the Southeast.
- 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_69a885ed29088190a3c2d5a3d100c16e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9082c186c81909c5c4c1a8a47c603 |
completed | March 5, 2026, 4:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad309714c4819090b995198d497ea2 |
completed | March 8, 2026, 8:17 a.m. |
| NEDg | Description generation | batch_69ad31167b748190bbb73d7369570ada |
completed | March 8, 2026, 8:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad31b5ce308190ba34123a4c8b8188 |
completed | March 8, 2026, 8:22 a.m. |
Created at: March 4, 2026, 7:26 p.m.