Triple
T12980847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Society of Transplantation |
E321647
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
AST
AST is a professional organization dedicated to advancing the field of organ transplantation through research, education, advocacy, and the promotion of high-quality patient care.
|
E1013881
|
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: AST | Statement: [American Society of Transplantation, shortName, AST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AST Context triple: [American Society of Transplantation, shortName, AST]
-
A.
AST
AST is the time zone used in several Middle Eastern countries, including Saudi Arabia, that is three hours ahead of Coordinated Universal Time (UTC+3).
-
B.
AST
AST is the National Rail station code for Aston railway station in Birmingham, England.
-
C.
ASTE
ASTE is the official station code used to identify Stellingen railway station in Hamburg, Germany.
-
D.
STA
STA is the vehicle registration code for the district of Starnberg in Bavaria, Germany.
-
E.
STA
STA is the National Rail station code for Stafford railway station, a key junction on the West Coast Main Line in Staffordshire, England.
- 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: AST Triple: [American Society of Transplantation, shortName, AST]
Generated description
AST is a professional organization dedicated to advancing the field of organ transplantation through research, education, advocacy, and the promotion of high-quality patient care.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AST Target entity description: AST is a professional organization dedicated to advancing the field of organ transplantation through research, education, advocacy, and the promotion of high-quality patient care.
-
A.
AST
AST is the time zone used in several Middle Eastern countries, including Saudi Arabia, that is three hours ahead of Coordinated Universal Time (UTC+3).
-
B.
AST
AST is the National Rail station code for Aston railway station in Birmingham, England.
-
C.
ASTE
ASTE is the official station code used to identify Stellingen railway station in Hamburg, Germany.
-
D.
STA
STA is the vehicle registration code for the district of Starnberg in Bavaria, Germany.
-
E.
STA
STA is the National Rail station code for Stafford railway station, a key junction on the West Coast Main Line in Staffordshire, England.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e5b993481908f94fe096ade441b |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8f200c88190a2aab15373cbedf5 |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6ba0904e8819098bae29961bf0046 |
completed | May 3, 2026, 2:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb7a0ae08190813411fa677430aa |
completed | May 3, 2026, 3:05 a.m. |
Created at: April 9, 2026, 8:39 p.m.