Triple
T1875432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Louisiana at Monroe |
E39132
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object |
ULM
ULM is a public university in Monroe, Louisiana, known for its academic programs, research initiatives, and Warhawks athletic teams.
|
E209191
|
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: ULM | Statement: [University of Louisiana at Monroe, acronym, ULM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ULM Context triple: [University of Louisiana at Monroe, acronym, ULM]
-
A.
Uni
Uni is an Etruscan goddess, broadly equivalent to the Roman Juno and Greek Hera, associated with marriage, fertility, and protection of the state.
-
B.
Universität Irchel
Universität Irchel is a public transit stop serving the Irchel campus area of the University of Zurich in Switzerland.
-
C.
UNIL
UNIL is the commonly used abbreviation for the University of Lausanne, a major public research university in Lausanne, Switzerland.
-
D.
Loyola
Loyola is a Spanish Basque noble family name most famously associated with Ignatius of Loyola, the founder of the Society of Jesus (Jesuits).
-
E.
Uji Campus
Uji Campus is one of Kyoto University’s main campuses, known for its concentration of advanced science and engineering research institutes in Uji, Kyoto Prefecture, Japan.
- 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: ULM Triple: [University of Louisiana at Monroe, acronym, ULM]
Generated description
ULM is a public university in Monroe, Louisiana, known for its academic programs, research initiatives, and Warhawks athletic teams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ULM Target entity description: ULM is a public university in Monroe, Louisiana, known for its academic programs, research initiatives, and Warhawks athletic teams.
-
A.
Uni
Uni is an Etruscan goddess, broadly equivalent to the Roman Juno and Greek Hera, associated with marriage, fertility, and protection of the state.
-
B.
Universität Irchel
Universität Irchel is a public transit stop serving the Irchel campus area of the University of Zurich in Switzerland.
-
C.
UNIL
UNIL is the commonly used abbreviation for the University of Lausanne, a major public research university in Lausanne, Switzerland.
-
D.
Loyola
Loyola is a Spanish Basque noble family name most famously associated with Ignatius of Loyola, the founder of the Society of Jesus (Jesuits).
-
E.
Uji Campus
Uji Campus is one of Kyoto University’s main campuses, known for its concentration of advanced science and engineering research institutes in Uji, Kyoto Prefecture, Japan.
- 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0d902ac8190a2d9bb6f683986e4 |
completed | March 7, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf56e2748190a2044d33d29d8324 |
completed | March 8, 2026, 8:43 p.m. |
| NEDg | Description generation | batch_69addfe46b388190b319043170253701 |
completed | March 8, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ade08d0ce0819097beb901dbb39d89 |
completed | March 8, 2026, 8:48 p.m. |
Created at: March 4, 2026, 7:34 p.m.