Triple
T5963499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Route 41 in Georgia |
E132695
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Valdosta
Valdosta is a city in southern Georgia known as a regional commercial hub and home to Valdosta State University.
|
E559006
|
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: Valdosta | Statement: [U.S. Route 41 in Georgia, passesThrough, Valdosta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valdosta Context triple: [U.S. Route 41 in Georgia, passesThrough, Valdosta]
-
A.
Pastoria
Pastoria is the former king of the Land of Oz and the father of Princess Ozma in L. Frank Baum’s Oz series.
-
B.
Casperia
Casperia is a historic hilltop village in central Italy’s Lazio region, known for its medieval architecture and panoramic views over the Sabine countryside.
-
C.
Vilas
Vilas is the surname of Guillermo Vilas, the legendary Argentine tennis player renowned for his clay-court dominance in the 1970s.
-
D.
Tarusa
Tarusa is a small historic town in western Russia known for its scenic location on the Oka River and its associations with Russian artists and writers.
-
E.
Navotas
Navotas is a coastal city in the Philippines known as part of Metro Manila’s fishing and fishport hub.
- 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: Valdosta Triple: [U.S. Route 41 in Georgia, passesThrough, Valdosta]
Generated description
Valdosta is a city in southern Georgia known as a regional commercial hub and home to Valdosta State University.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Valdosta Target entity description: Valdosta is a city in southern Georgia known as a regional commercial hub and home to Valdosta State University.
-
A.
Pastoria
Pastoria is the former king of the Land of Oz and the father of Princess Ozma in L. Frank Baum’s Oz series.
-
B.
Casperia
Casperia is a historic hilltop village in central Italy’s Lazio region, known for its medieval architecture and panoramic views over the Sabine countryside.
-
C.
Vilas
Vilas is the surname of Guillermo Vilas, the legendary Argentine tennis player renowned for his clay-court dominance in the 1970s.
-
D.
Tarusa
Tarusa is a small historic town in western Russia known for its scenic location on the Oka River and its associations with Russian artists and writers.
-
E.
Navotas
Navotas is a coastal city in the Philippines known as part of Metro Manila’s fishing and fishport hub.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03a00e444819087f9df62263e83dc |
completed | March 22, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3f32e8481908a6075684287c412 |
completed | March 23, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69c0ebfa3a9c81908a183f995350366b |
completed | March 23, 2026, 7:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0ec61672c8190b98cead75cac84d5 |
completed | March 23, 2026, 7:31 a.m. |
Created at: March 22, 2026, 4:03 p.m.