Triple
T32280197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magical Congress of the United States of America |
E824667
|
entity |
| Predicate | usesTermForMuggles |
P185232
|
FINISHED |
| Object | No-Maj |
—
|
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: No-Maj | Statement: [Magical Congress of the United States of America, usesTermForMuggles, No-Maj]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTermForMuggles Context triple: [Magical Congress of the United States of America, usesTermForMuggles, No-Maj]
-
A.
attitudeTowardMuggle-borns
Indicates the nature and degree of a subject’s feelings, beliefs, or stance toward Muggle-born individuals.
-
B.
attitudeTowardMuggles
Indicates the nature or stance of an entity’s feelings, opinions, or disposition toward Muggles.
-
C.
languageOfIncantation
Indicates that a specified language is the one in which a particular incantation is spoken or written.
-
D.
ministryOfMagicClassification
Indicates the official category or status assigned to something by the Ministry of Magic according to its classification system.
-
E.
roleInHarryPotter
Indicates that one entity has a specific role or character part within the Harry Potter series in relation to the other entity.
- F. None of above. chosen
Provenance (4 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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7bbf906d8819099020e548dd56bc9 |
completed | May 3, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a2dcf88190a7c9e109e41267be |
completed | May 3, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69f7bbf812cc8190a16917c5daaff2df |
completed | May 3, 2026, 9:19 p.m. |
Created at: May 1, 2026, 12:43 a.m.