Triple
T12980801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Society of Echocardiography |
E321646
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
ASE
ASE is a professional medical society dedicated to advancing cardiovascular ultrasound and improving patient care through education, research, and advocacy.
|
E1013880
|
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: ASE | Statement: [American Society of Echocardiography, abbreviation, ASE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ASE Context triple: [American Society of Echocardiography, abbreviation, ASE]
-
A.
ASE
ASE is the Amman Stock Exchange, the principal securities market of Jordan where stocks and other financial instruments are traded.
-
B.
ASSE
ASSE is the commonly used abbreviation for AS Saint-Étienne, a historic French professional football club known for its success in Ligue 1.
-
C.
AS
AS is the two-letter IATA airline designator assigned to Alaska Airlines, used in flight numbers and ticketing.
-
D.
AS
AS is the commonly used abbreviation for Academia Sinica, Taiwan’s national academy and leading research institution.
-
E.
AS
AS is the official vehicle registration code assigned to the Indian state of Assam.
- 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: ASE Triple: [American Society of Echocardiography, abbreviation, ASE]
Generated description
ASE is a professional medical society dedicated to advancing cardiovascular ultrasound and improving patient care through education, research, and advocacy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ASE Target entity description: ASE is a professional medical society dedicated to advancing cardiovascular ultrasound and improving patient care through education, research, and advocacy.
-
A.
ASE
ASE is the Amman Stock Exchange, the principal securities market of Jordan where stocks and other financial instruments are traded.
-
B.
ASSE
ASSE is the commonly used abbreviation for AS Saint-Étienne, a historic French professional football club known for its success in Ligue 1.
-
C.
AS
AS is the two-letter IATA airline designator assigned to Alaska Airlines, used in flight numbers and ticketing.
-
D.
AS
AS is the official vehicle registration code assigned to the Indian state of Assam.
-
E.
AS
AS is the commonly used abbreviation for Academia Sinica, Taiwan’s national academy and leading research institution.
- 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.