Triple
T1633147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Governor of Oregon |
E35301
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object |
Mahonia Hall
Mahonia Hall is the official governor’s mansion of the U.S. state of Oregon, serving as the ceremonial home and workplace of the sitting governor.
|
E184159
|
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: Mahonia Hall | Statement: [Governor of Oregon, residence, Mahonia Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahonia Hall Context triple: [Governor of Oregon, residence, Mahonia Hall]
-
A.
Durfee Hall
Durfee Hall is a historic residential dormitory located on Yale University's Old Campus in New Haven, Connecticut.
-
B.
Healy Hall
Healy Hall is a historic, Gothic-style academic building and iconic centerpiece of Georgetown University in Washington, D.C.
-
C.
Matthews Hall
Matthews Hall is a historic red-brick freshman dormitory at Harvard University, located in Harvard Yard.
-
D.
South Hall
South Hall is one of the main academic buildings on the University of California, Berkeley campus, housing classrooms, offices, and university departments.
-
E.
South Hall
South Hall is a section of the Mausoleum of Mao Zedong in Beijing, forming part of the memorial complex dedicated to China's former leader.
- 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: Mahonia Hall Triple: [Governor of Oregon, residence, Mahonia Hall]
Generated description
Mahonia Hall is the official governor’s mansion of the U.S. state of Oregon, serving as the ceremonial home and workplace of the sitting governor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mahonia Hall Target entity description: Mahonia Hall is the official governor’s mansion of the U.S. state of Oregon, serving as the ceremonial home and workplace of the sitting governor.
-
A.
Durfee Hall
Durfee Hall is a historic residential dormitory located on Yale University's Old Campus in New Haven, Connecticut.
-
B.
Healy Hall
Healy Hall is a historic, Gothic-style academic building and iconic centerpiece of Georgetown University in Washington, D.C.
-
C.
Matthews Hall
Matthews Hall is a historic red-brick freshman dormitory at Harvard University, located in Harvard Yard.
-
D.
South Hall
South Hall is one of the main academic buildings on the University of California, Berkeley campus, housing classrooms, offices, and university departments.
-
E.
South Hall
South Hall is a section of the Mausoleum of Mao Zedong in Beijing, forming part of the memorial complex dedicated to China's former leader.
- 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_69a886036bc081909ff5de16dbe5e8ea |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a909f86abc8190b0b81310dcd7feed |
completed | March 5, 2026, 4:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58d9db5c819081408977834ad606 |
completed | March 8, 2026, 11:09 a.m. |
| NEDg | Description generation | batch_69ad5a625d088190bbacbb69a0569d49 |
completed | March 8, 2026, 11:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad5ae605f88190b5e42d7cf923e9bb |
completed | March 8, 2026, 11:17 a.m. |
Created at: March 4, 2026, 7:28 p.m.