Triple
T5443303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gringotts Wizarding Bank |
E122187
|
entity |
| Predicate | hasEmployee |
P2308
|
FINISHED |
| Object | Bogrod |
E454302
|
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: Bogrod | Statement: [Gringotts Wizarding Bank, hasEmployee, Bogrod]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bogrod Context triple: [Gringotts Wizarding Bank, hasEmployee, Bogrod]
-
A.
Bogrod
chosen
Bogrod is a goblin banker who works at Gringotts Wizarding Bank in the Harry Potter series.
-
B.
Soligalich
Soligalich is a historic Russian town known for its preserved 18th–19th century architecture and location along the Kostroma River in Kostroma Oblast.
-
C.
Bori
Bori is a prominent urban center in Nigeria’s Rivers State, serving as an important commercial and administrative hub for the surrounding region.
-
D.
Borbera
Borbera is a river in northwestern Italy that flows through the Piedmont region before joining the Tanaro.
-
E.
Bibirevo
Bibirevo is a Moscow Metro station serving the Bibirevo District in the north of the city.
- 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_69bd4640f52c81909e653ec361f66d76 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91ccdd648190940c04781c4222ec |
completed | March 20, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf41302d588190afa5906d0e3dd891 |
completed | March 22, 2026, 1:09 a.m. |
Created at: March 20, 2026, 2:07 p.m.