Triple
T8119561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Diego Museum of Us |
E189571
|
entity |
| Predicate | hasExhibit |
P35
|
FINISHED |
| Object | BEERology |
E479347
|
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: BEERology | Statement: [San Diego Museum of Us, hasExhibit, BEERology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BEERology Context triple: [San Diego Museum of Us, hasExhibit, BEERology]
-
A.
BEERology
chosen
BEERology is a museum exhibition that explores the cultural history, science, and global traditions of beer and brewing.
-
B.
Drink a Beer
"Drink a Beer" is a reflective country ballad by Luke Bryan that poignantly addresses loss and remembrance.
-
C.
Bubbles in My Beer
"Bubbles in My Beer" is a country song featured on Willie Nelson's influential 1973 album *Shotgun Willie*.
-
D.
Beers
Beers is a small village in the Dutch province of North Brabant, known for its rural character and location within the municipality of Land van Cuijk.
-
E.
Beer-lahai-roi
Beer-lahai-roi is a biblical location in the Negev desert region, known as the well where Hagar encountered God and later associated with the life of the patriarch Isaac.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4359f3dc8190a2330cf6efb8c084 |
completed | March 31, 2026, 3:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc944d009c81908ceb37b6922efb59 |
completed | April 1, 2026, 3:43 a.m. |
Created at: March 30, 2026, 5:33 p.m.