Triple
T12396432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McLaren Flat |
E296127
|
entity |
| Predicate | hasNearbyLocality |
P3883
|
FINISHED |
| Object |
The Range
The Range is a rural locality in South Australia known for its scenic hills, vineyards, and agricultural landscapes.
|
E982958
|
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: The Range | Statement: [McLaren Flat, hasNearbyLocality, The Range]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Range Context triple: [McLaren Flat, hasNearbyLocality, The Range]
-
A.
The Range
The Range is the historic colonnaded row of student rooms at the University of Virginia that forms part of Thomas Jefferson’s original Academical Village.
-
B.
The Valley
The Valley is the commonly used nickname for the Missouri Valley Conference, one of the oldest collegiate athletic conferences in the United States.
-
C.
The Valley
"The Valley" is a song by British singer-songwriter Laura Marling from her 2017 album *Semper Femina*, noted for its introspective lyrics and atmospheric folk sound.
-
D.
The Valley
The Valley is the small administrative and commercial center of the Caribbean island territory of Anguilla.
-
E.
The Valley
The Valley is a historic football stadium in southeast London that serves as the long-time home ground of Charlton Athletic Football Club.
- 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: The Range Triple: [McLaren Flat, hasNearbyLocality, The Range]
Generated description
The Range is a rural locality in South Australia known for its scenic hills, vineyards, and agricultural landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Range Target entity description: The Range is a rural locality in South Australia known for its scenic hills, vineyards, and agricultural landscapes.
-
A.
The Range
The Range is the historic colonnaded row of student rooms at the University of Virginia that forms part of Thomas Jefferson’s original Academical Village.
-
B.
The Valley
The Valley is the commonly used nickname for the Missouri Valley Conference, one of the oldest collegiate athletic conferences in the United States.
-
C.
The Valley
"The Valley" is a song by British singer-songwriter Laura Marling from her 2017 album *Semper Femina*, noted for its introspective lyrics and atmospheric folk sound.
-
D.
The Valley
The Valley is the small administrative and commercial center of the Caribbean island territory of Anguilla.
-
E.
The Valley
The Valley is a historic football stadium in southeast London that serves as the long-time home ground of Charlton Athletic Football Club.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd33f048190b205fd21dc513f6a |
completed | April 10, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6347e27b4819085494babfe180488 |
completed | May 2, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69f63674aa3c81908ba82a9d246b3b3a |
completed | May 2, 2026, 5:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f63a9b32fc8190ab98492ff91d2a66 |
completed | May 2, 2026, 5:55 p.m. |
Created at: April 8, 2026, 9:54 p.m.