Triple
T7774890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Antioquia |
E179165
|
entity |
| Predicate | memberOf |
P10
|
FINISHED |
| Object |
ASCUN
ASCUN is Colombia’s national association of universities that coordinates and represents higher education institutions across the country.
|
E687836
|
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: ASCUN | Statement: [University of Antioquia, memberOf, ASCUN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ASCUN Context triple: [University of Antioquia, memberOf, ASCUN]
-
A.
ACSA
ACSA is a nonprofit organization that represents and advances architectural education by supporting collegiate schools of architecture in North America and beyond.
-
B.
SASC
SASC is the commonly used acronym for the United States Senate Committee on Armed Services, the congressional body responsible for oversight of the U.S. Department of Defense and the nation’s military policies.
-
C.
UNSA
UNSA is a major public university in Arequipa, Peru, known for its broad range of academic programs and significant regional influence in education and research.
-
D.
UNSA
UNSA is the commonly used acronym for the University of Sarajevo, the largest and oldest public university in Bosnia and Herzegovina.
-
E.
USANC
USANC is the UN/LOCODE identifier assigned to the Port of Alaska in Anchorage, United States.
- 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: ASCUN Triple: [University of Antioquia, memberOf, ASCUN]
Generated description
ASCUN is Colombia’s national association of universities that coordinates and represents higher education institutions across the country.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ASCUN Target entity description: ASCUN is Colombia’s national association of universities that coordinates and represents higher education institutions across the country.
-
A.
ACSA
ACSA is a nonprofit organization that represents and advances architectural education by supporting collegiate schools of architecture in North America and beyond.
-
B.
SASC
SASC is the commonly used acronym for the United States Senate Committee on Armed Services, the congressional body responsible for oversight of the U.S. Department of Defense and the nation’s military policies.
-
C.
UNSA
UNSA is a major public university in Arequipa, Peru, known for its broad range of academic programs and significant regional influence in education and research.
-
D.
UNSA
UNSA is the commonly used acronym for the University of Sarajevo, the largest and oldest public university in Bosnia and Herzegovina.
-
E.
USANC
USANC is the UN/LOCODE identifier assigned to the Port of Alaska in Anchorage, United States.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c7046331e0819080ec1a5c23c27cd7 |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7f12b888190b10479c3db81cce2 |
completed | March 29, 2026, 6:34 a.m. |
| NEDg | Description generation | batch_69c8c8b84f88819086ecd371b62e2b5b |
completed | March 29, 2026, 6:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c917a1308190ab2c8e70d6ed8c0e |
completed | March 29, 2026, 6:39 a.m. |
Created at: March 27, 2026, 4:11 p.m.