Triple
T19145861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Building |
E468675
|
entity |
| Predicate | isAdjacentTo |
P5707
|
FINISHED |
| Object | Old East |
—
|
NE NERFINISHED |
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: Old East | Statement: [South Building, isAdjacentTo, Old East]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old East Context triple: [South Building, isAdjacentTo, Old East]
-
A.
Old East
chosen
Old East is a historic University of North Carolina at Chapel Hill residence hall, widely regarded as the oldest state university building in the United States.
-
B.
Olden
Olden is a surname most notably associated with Charles Smith Olden, a 19th-century American politician who served as Governor of New Jersey.
-
C.
Olden
Olden is a small village in Stryn Municipality in Vestland county, Norway, known as a gateway to the Nordfjord region and nearby glaciers.
-
D.
Old World
Old World is a historical-geographical term referring to Africa, Europe, and Asia, the parts of the world known to Europeans before the discovery of the Americas.
-
E.
Old Abingdonian
Old Abingdonian is the traditional term used to refer to former pupils of Abingdon School, an independent school in Oxfordshire, England.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e9796ebc8190928f4b227685bc33 |
completed | April 20, 2026, 8:53 a.m. |
Created at: April 10, 2026, 12:06 p.m.