Triple
T15063304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Virginia Historic District |
E379689
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | The Lawn |
E160190
|
NE FINISHED |
How this triple was built (2 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 Lawn | Statement: [University of Virginia Historic District, hasPart, The Lawn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Lawn Context triple: [University of Virginia Historic District, hasPart, The Lawn]
-
A.
The Lawn
chosen
The Lawn is the historic, colonnaded central quadrangle of the University of Virginia, designed by Thomas Jefferson as the heart of his Academical Village.
-
B.
The Meadows
The Meadows is a central shopping complex in Chelmsford, England, featuring a range of retail stores, eateries, and services.
-
C.
The Meadows
The Meadows is a large public park and green space in central Edinburgh, popular for recreation, sports, and community events.
-
D.
The Meadows
The Meadows is a tranquil, family-oriented residential community in Dubai known for its landscaped parks, lakes, and villa-style homes.
-
E.
Greensward
Greensward is a large open meadow in Overton Park in Memphis, Tennessee, popular for recreation, picnics, and community events.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cd7683881908d405c1b5d7b4f7f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69dedee803ac81908bb7d66e49c2eb72 |
completed | April 15, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fea5c8b3ac8190b8fc921b6e6eeed5 |
completed | May 9, 2026, 3:11 a.m. |
Created at: April 10, 2026, 3:02 a.m.