Triple
T11310031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bunkachō |
E267812
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
ACA
ACA is the commonly used English abbreviation for Japan’s Agency for Cultural Affairs, the government body responsible for cultural policy and heritage protection.
|
E917348
|
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: ACA | Statement: [Bunkachō, abbreviation, ACA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ACA Context triple: [Bunkachō, abbreviation, ACA]
-
A.
ACA
ACA is the three-letter ICAO airline designator used to identify Air Canada in international aviation operations and communications.
-
B.
ACA
ACA is a professional scientific organization that promotes the study and application of crystallography and structural science, primarily in North America.
-
C.
ACA
ACA is the common abbreviation for the Affordable Care Act, a major U.S. health care reform law enacted in 2010 to expand insurance coverage and consumer protections.
-
D.
ACA
ACA is a subset of the Atacama Large Millimeter/submillimeter Array (ALMA) consisting of closely spaced radio telescopes designed to improve imaging of extended astronomical objects.
-
E.
ACA
ACA is the acronym commonly used for the Army Comrades Association, an Irish nationalist organization active in the early 20th century.
- 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: ACA Triple: [Bunkachō, abbreviation, ACA]
Generated description
ACA is the commonly used English abbreviation for Japan’s Agency for Cultural Affairs, the government body responsible for cultural policy and heritage protection.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ACA Target entity description: ACA is the commonly used English abbreviation for Japan’s Agency for Cultural Affairs, the government body responsible for cultural policy and heritage protection.
-
A.
ACA
ACA is the three-letter ICAO airline designator used to identify Air Canada in international aviation operations and communications.
-
B.
ACA
ACA is the acronym commonly used for the Army Comrades Association, an Irish nationalist organization active in the early 20th century.
-
C.
ACA
ACA is the common abbreviation for the Affordable Care Act, a major U.S. health care reform law enacted in 2010 to expand insurance coverage and consumer protections.
-
D.
ACA
ACA is a professional scientific organization that promotes the study and application of crystallography and structural science, primarily in North America.
-
E.
ACA
ACA is the IATA airport code for Acapulco International Airport, the main air gateway serving Acapulco, Mexico.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a7fc06881909afe85a600d25ff2 |
completed | April 19, 2026, 5:01 p.m. |
| NEDg | Description generation | batch_69e510fb1e288190a7a38fe896d7b91d |
completed | April 19, 2026, 5:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e516d0910481908fee176db0d9229b |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 8, 2026, 9:32 p.m.