Triple
T2924818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union of American Republics |
E78817
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
PAU
PAU is the abbreviated name commonly used to refer to the Union of American Republics, an international organization uniting countries in the Americas.
|
E310487
|
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: PAU | Statement: [Union of American Republics, shortName, PAU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PAU Context triple: [Union of American Republics, shortName, PAU]
-
A.
PAU
PAU is the abbreviation for the Polish Academy of Learning, a historic scholarly society based in Kraków that promotes advanced research and education in the sciences and humanities.
-
B.
PUC
PUC is a top-level United States military unit award given for extraordinary heroism in action against an armed enemy.
-
C.
PUC
PUC is a leading Chilean higher education institution renowned for its academic excellence, research output, and strong Catholic tradition.
-
D.
PNU
PNU is a major national research university located in Busan, South Korea, known for its comprehensive academic programs and strong regional influence.
-
E.
PA
PA is the postcode area in western Scotland that covers Paisley and parts of the surrounding Greater Glasgow region.
- 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: PAU Triple: [Union of American Republics, shortName, PAU]
Generated description
PAU is the abbreviated name commonly used to refer to the Union of American Republics, an international organization uniting countries in the Americas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PAU Target entity description: PAU is the abbreviated name commonly used to refer to the Union of American Republics, an international organization uniting countries in the Americas.
-
A.
PAU
PAU is the abbreviation for the Polish Academy of Learning, a historic scholarly society based in Kraków that promotes advanced research and education in the sciences and humanities.
-
B.
PUC
PUC is a top-level United States military unit award given for extraordinary heroism in action against an armed enemy.
-
C.
PUC
PUC is a leading Chilean higher education institution renowned for its academic excellence, research output, and strong Catholic tradition.
-
D.
PNU
PNU is a major national research university located in Busan, South Korea, known for its comprehensive academic programs and strong regional influence.
-
E.
PA
PA is the postcode area in western Scotland that covers Paisley and parts of the surrounding Greater Glasgow region.
- 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_69ad8b0d40b481908bc2a5fa2e73c3fb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97c086888190ba51ce659a6c4f50 |
completed | March 8, 2026, 3:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0563a81788190b94fab34e41a76e7 |
completed | March 10, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69b062a0f74c8190943739f4cda3c614 |
completed | March 10, 2026, 6:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0631e65e88190bd425222c60637db |
completed | March 10, 2026, 6:29 p.m. |
Created at: March 8, 2026, 2:55 p.m.