Triple
T4907409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colegio de Postgraduados |
E109945
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
Colpos
Colpos is a Mexican public institution of higher education and research specializing in agricultural, forestry, and environmental sciences.
|
E479896
|
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: Colpos | Statement: [Colegio de Postgraduados, shortName, Colpos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colpos Context triple: [Colegio de Postgraduados, shortName, Colpos]
-
A.
Ovar
Ovar is a coastal city in northern Portugal known for its beaches, traditional Carnival celebrations, and distinctive tiled architecture.
-
B.
CIN
CIN is the common abbreviation used for the former NBA franchise known as the Cincinnati Royals.
-
C.
Catamenia
Catamenia is a small genus of South American seed-eating birds known as ground-tyrants or seedeaters within the tanager family.
-
D.
de Graaf
De Graaf is a Dutch surname most notably associated with figures such as Reinier de Graaf, a 17th-century physician and anatomist known for his pioneering work on the reproductive system.
-
E.
Blonde Venus
Blonde Venus is a 1932 pre-Code Hollywood drama film starring Marlene Dietrich as a nightclub singer whose life unravels amid love, sacrifice, and scandal.
- 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: Colpos Triple: [Colegio de Postgraduados, shortName, Colpos]
Generated description
Colpos is a Mexican public institution of higher education and research specializing in agricultural, forestry, and environmental sciences.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Colpos Target entity description: Colpos is a Mexican public institution of higher education and research specializing in agricultural, forestry, and environmental sciences.
-
A.
Ovar
Ovar is a coastal city in northern Portugal known for its beaches, traditional Carnival celebrations, and distinctive tiled architecture.
-
B.
CIN
CIN is the common abbreviation used for the former NBA franchise known as the Cincinnati Royals.
-
C.
Catamenia
Catamenia is a small genus of South American seed-eating birds known as ground-tyrants or seedeaters within the tanager family.
-
D.
Naboth
Naboth is a biblical figure in the Old Testament whose unjust execution, orchestrated by Queen Jezebel so King Ahab could seize his vineyard, exemplifies the abuse of royal power and legal corruption.
-
E.
de Graaf
De Graaf is a Dutch surname most notably associated with figures such as Reinier de Graaf, a 17th-century physician and anatomist known for his pioneering work on the reproductive system.
- 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_69bd441180708190ba42ffb44fea533a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e7452d481909078a0027e2a4566 |
completed | March 20, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fdd89588190ae9c8de779d89aaf |
completed | March 21, 2026, 10:15 a.m. |
| NEDg | Description generation | batch_69be73ee7d188190a15b910a4b778bee |
completed | March 21, 2026, 10:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be742e6e1c8190872179b61a1ed26b |
completed | March 21, 2026, 10:34 a.m. |
Created at: March 20, 2026, 1:29 p.m.