Triple
T4803064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Well |
E106880
|
entity |
| Predicate | inFrontOf |
P4990
|
FINISHED |
| Object | South Building |
E468675
|
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: South Building | Statement: [Old Well, inFrontOf, South Building]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Building Context triple: [Old Well, inFrontOf, South Building]
-
A.
South Building
South Building is a major exhibition hall within Chicago’s McCormick Place convention center complex, used for large trade shows and events.
-
B.
South Building
chosen
South Building is one of the oldest and most historically significant academic buildings on the campus of the University of North Carolina at Chapel Hill.
-
C.
North Building
North Building is one of the main exhibition and convention halls within Chicago’s McCormick Place complex, hosting large-scale trade shows and events.
-
D.
North Building
North Building is a distinctive wing of the Denver Art Museum, known for its modernist architecture and role in housing part of the museum’s art collections.
-
E.
North Building
North Building is one of the main commercial and office towers within the Grand Front Osaka complex, housing a mix of shops, restaurants, and business facilities.
- 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_69bd43f6a1e08190bf0a372bfc336ee5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c432ad4819095106dd6e2968cfb |
completed | March 20, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4d9e1ea88190b098d5203bd1d145 |
completed | March 21, 2026, 7:49 a.m. |
Created at: March 20, 2026, 1:23 p.m.