Triple
T16051326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guangzhou Academy of Fine Arts |
E389358
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
GAFA
GAFA is an art and design university in Guangzhou, China, known for its programs in fine arts, design, and related creative disciplines.
|
E1191364
|
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: GAFA | Statement: [Guangzhou Academy of Fine Arts, shortName, GAFA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GAFA Context triple: [Guangzhou Academy of Fine Arts, shortName, GAFA]
-
A.
GFA
GFA is the governing body responsible for organizing and overseeing football activities and competitions in Ghana.
-
B.
GFA
GFA is the ICAO airline designator used for Gulf Air, the national carrier of Bahrain.
-
C.
GIZ
GIZ is a German government-owned development agency that provides international cooperation services for sustainable development and international education.
-
D.
GIZ
GIZ is the IATA airport code for Jazan Regional Airport in Jazan, Saudi Arabia.
-
E.
Google
Google is a multinational technology company best known for its search engine and wide range of internet-related products and services, including Android, YouTube, and cloud computing.
- 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: GAFA Triple: [Guangzhou Academy of Fine Arts, shortName, GAFA]
Generated description
GAFA is an art and design university in Guangzhou, China, known for its programs in fine arts, design, and related creative disciplines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GAFA Target entity description: GAFA is an art and design university in Guangzhou, China, known for its programs in fine arts, design, and related creative disciplines.
-
A.
GFA
GFA is the governing body responsible for organizing and overseeing football activities and competitions in Ghana.
-
B.
GFA
GFA is the ICAO airline designator used for Gulf Air, the national carrier of Bahrain.
-
C.
GIZ
GIZ is a German government-owned development agency that provides international cooperation services for sustainable development and international education.
-
D.
GIZ
GIZ is the IATA airport code for Jazan Regional Airport in Jazan, Saudi Arabia.
-
E.
Google
Google is a multinational technology company best known for its search engine and wide range of internet-related products and services, including Android, YouTube, and cloud computing.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18361c31481908b253e8b814ec9f6 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbe095908190ba10399ad6f3b5f8 |
completed | May 10, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_69ffdcdb551c8190b367407b749314e8 |
completed | May 10, 2026, 1:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffddbfaf088190a644e7898f995c1d |
completed | May 10, 2026, 1:22 a.m. |
Created at: April 10, 2026, 4:56 a.m.