Triple
T2264998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transylvania University |
E50123
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Transy
Transy is the commonly used nickname for Transylvania University, a private liberal arts college in Lexington, Kentucky.
|
E251522
|
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: Transy | Statement: [Transylvania University, nickname, Transy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Transy Context triple: [Transylvania University, nickname, Transy]
-
A.
Trife
Trife is a rapper best known as a member of the Brooklyn hip hop collective Junior M.A.F.I.A.
-
B.
Trasianka
Trasianka is a mixed East Slavic speech variety, primarily combining elements of Belarusian and Russian, commonly used in informal communication in Belarus.
-
C.
Przehyba
Przehyba is a prominent mountain peak in southern Poland’s Beskid Sądecki range, popular for hiking, scenic views, and its forested landscapes.
-
D.
Tverya
Tverya is the Hebrew name for Tiberias, an ancient city in northern Israel on the western shore of the Sea of Galilee known for its religious significance and hot springs.
-
E.
Tiel
Tiel is a historic Dutch city situated along the River Waal, known for its fruit cultivation and role as a regional trade center in the province of Gelderland.
- 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: Transy Triple: [Transylvania University, nickname, Transy]
Generated description
Transy is the commonly used nickname for Transylvania University, a private liberal arts college in Lexington, Kentucky.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Transy Target entity description: Transy is the commonly used nickname for Transylvania University, a private liberal arts college in Lexington, Kentucky.
-
A.
Trife
Trife is a rapper best known as a member of the Brooklyn hip hop collective Junior M.A.F.I.A.
-
B.
Trasianka
Trasianka is a mixed East Slavic speech variety, primarily combining elements of Belarusian and Russian, commonly used in informal communication in Belarus.
-
C.
Przehyba
Przehyba is a prominent mountain peak in southern Poland’s Beskid Sądecki range, popular for hiking, scenic views, and its forested landscapes.
-
D.
Tverya
Tverya is the Hebrew name for Tiberias, an ancient city in northern Israel on the western shore of the Sea of Galilee known for its religious significance and hot springs.
-
E.
Tiel
Tiel is a historic Dutch city situated along the River Waal, known for its fruit cultivation and role as a regional trade center in the province of Gelderland.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc18ed0708190aa3156e9d35120c3 |
completed | March 7, 2026, 6:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71d243608190bbfe5784fa06e26b |
completed | March 9, 2026, 7:08 a.m. |
| NEDg | Description generation | batch_69ae728e46608190b4192519c705bc32 |
completed | March 9, 2026, 7:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae72ff572081909b7c4aebb9e26180 |
completed | March 9, 2026, 7:13 a.m. |
Created at: March 4, 2026, 7:48 p.m.