Triple
T6711114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Tennessee at Martin |
E153142
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
UTM
UTM is a public university in Martin, Tennessee, known for its undergraduate-focused education and role within the University of Tennessee system.
|
E612765
|
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: UTM | Statement: [University of Tennessee at Martin, abbreviation, UTM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UTM Context triple: [University of Tennessee at Martin, abbreviation, UTM]
-
A.
UTM
UTM is the University of Toronto Mississauga, a suburban campus of the University of Toronto located in Mississauga, Ontario.
-
B.
GTM
GTM was a former name of Vinci, the major French concessions and construction company involved in large-scale infrastructure projects worldwide.
-
C.
GTM
GTM is the three-letter ISO 3166-1 alpha-3 country code assigned to Guatemala.
-
D.
UM
UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
-
E.
UM
UM is the regional vehicle registration code used for the district of Uckermark in the German state of Brandenburg.
- 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: UTM Triple: [University of Tennessee at Martin, abbreviation, UTM]
Generated description
UTM is a public university in Martin, Tennessee, known for its undergraduate-focused education and role within the University of Tennessee system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UTM Target entity description: UTM is a public university in Martin, Tennessee, known for its undergraduate-focused education and role within the University of Tennessee system.
-
A.
UTM
UTM is the University of Toronto Mississauga, a suburban campus of the University of Toronto located in Mississauga, Ontario.
-
B.
GTM
GTM was a former name of Vinci, the major French concessions and construction company involved in large-scale infrastructure projects worldwide.
-
C.
GTM
GTM is the three-letter ISO 3166-1 alpha-3 country code assigned to Guatemala.
-
D.
UM
UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
-
E.
UM
UM is the regional vehicle registration code used for the district of Uckermark in the German state of Brandenburg.
- 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_69c68808d8d8819087369015270788fe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d107380481909cc761dc182834c1 |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c700906a9c81908a121db4291195d8 |
completed | March 27, 2026, 10:11 p.m. |
| NEDg | Description generation | batch_69c701db4eb081908db6dd22fbfb28d1 |
completed | March 27, 2026, 10:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7026529ec81909479b826efb5eb54 |
completed | March 27, 2026, 10:19 p.m. |
Created at: March 27, 2026, 2:06 p.m.