Triple
T11478906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museum of Zoology of the University of São Paulo |
E272091
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
MZUSP
MZUSP is a major Brazilian zoological museum and research institution affiliated with the University of São Paulo, renowned for its extensive collections of animal specimens and contributions to biodiversity studies.
|
E927689
|
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: MZUSP | Statement: [Museum of Zoology of the University of São Paulo, shortName, MZUSP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MZUSP Context triple: [Museum of Zoology of the University of São Paulo, shortName, MZUSP]
-
A.
MUW
MUW is a public university in Columbus, Mississippi, historically founded as the first public college for women in the United States but now coeducational.
-
B.
MU
MU is the common abbreviation for Masaryk University, a major public research university located in Brno, Czech Republic.
-
C.
MU
MU is the IATA airline designator assigned to China Eastern Airlines, one of China’s major carriers.
-
D.
MU
MU is the commonly used abbreviation for the University of Missouri, a major public research university based in Columbia, Missouri.
-
E.
MZ
MZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Mozambique.
- 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: MZUSP Triple: [Museum of Zoology of the University of São Paulo, shortName, MZUSP]
Generated description
MZUSP is a major Brazilian zoological museum and research institution affiliated with the University of São Paulo, renowned for its extensive collections of animal specimens and contributions to biodiversity studies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MZUSP Target entity description: MZUSP is a major Brazilian zoological museum and research institution affiliated with the University of São Paulo, renowned for its extensive collections of animal specimens and contributions to biodiversity studies.
-
A.
MUW
MUW is a public university in Columbus, Mississippi, historically founded as the first public college for women in the United States but now coeducational.
-
B.
MU
MU is the common abbreviation for Masaryk University, a major public research university located in Brno, Czech Republic.
-
C.
MU
MU is the IATA airline designator assigned to China Eastern Airlines, one of China’s major carriers.
-
D.
MU
MU is the commonly used abbreviation for the University of Missouri, a major public research university based in Columbia, Missouri.
-
E.
MZ
MZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Mozambique.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294f0e948190b2e106beb86e4b2c |
completed | April 9, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e970743c8190a5be4d59d1b941d6 |
completed | April 20, 2026, 8:53 a.m. |
| NEDg | Description generation | batch_69e5f15b37c8819083d9275ceb7b3806 |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f89dd4bc8190b0cccab8414a03aa |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 8, 2026, 9:36 p.m.