Triple
T4406234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of El Salvador |
E93738
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
UES
UES is the main public university in El Salvador, recognized for its broad range of academic programs and significant role in the country’s higher education system.
|
E437678
|
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: UES | Statement: [University of El Salvador, shortName, UES]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UES Context triple: [University of El Salvador, shortName, UES]
-
A.
UA
UA is the commonly used abbreviation for the University of Angers, a French public university located in Angers.
-
B.
UA
UA is the two-letter IATA airline designator used worldwide to identify United Airlines on tickets, schedules, and flight information.
-
C.
UA
UA is a major public research university located in Tucson, Arizona, known for its strong programs in astronomy, space sciences, and environmental studies.
-
D.
UA
UA is the two-letter ISO 3166-1 alpha-2 country code assigned to Ukraine for international standardization and identification purposes.
-
E.
UA
UA is a common abbreviation for the University of Arkansas, a public research university known for its flagship campus in Fayetteville.
- 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: UES Triple: [University of El Salvador, shortName, UES]
Generated description
UES is the main public university in El Salvador, recognized for its broad range of academic programs and significant role in the country’s higher education system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UES Target entity description: UES is the main public university in El Salvador, recognized for its broad range of academic programs and significant role in the country’s higher education system.
-
A.
UA
UA is the two-letter IATA airline designator used worldwide to identify United Airlines on tickets, schedules, and flight information.
-
B.
UA
UA is a major public research university located in Tucson, Arizona, known for its strong programs in astronomy, space sciences, and environmental studies.
-
C.
UA
UA is the commonly used abbreviation for the University of Angers, a French public university located in Angers.
-
D.
UA
UA is a common abbreviation for the University of Arkansas, a public research university known for its flagship campus in Fayetteville.
-
E.
UA
UA is the two-letter ISO 3166-1 alpha-2 country code assigned to Ukraine for international standardization and identification purposes.
- 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b35489f6948190a4b2c259f64b4abf |
completed | March 13, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f6058f2c8190a50862d1a4607f3c |
completed | March 14, 2026, 11:57 p.m. |
| NEDg | Description generation | batch_69b5f72c17fc819098c32cf56431e431 |
completed | March 15, 2026, 12:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5f7b0ef808190a913f494fdf5bb6d |
completed | March 15, 2026, 12:05 a.m. |
Created at: March 12, 2026, 11:28 p.m.