Triple
T12747845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goldener Saal |
E304651
|
entity |
| Predicate | acousticReputation |
P49959
|
FINISHED |
| Object | among the best concert halls in the world |
—
|
LITERAL 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: among the best concert halls in the world | Statement: [Goldener Saal, acousticReputation, among the best concert halls in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acousticReputation Context triple: [Goldener Saal, acousticReputation, among the best concert halls in the world]
-
A.
acousticProperty
Indicates the relationship between an entity and its sound-related characteristics, such as loudness, pitch, timbre, or other acoustic features.
-
B.
crowdReputation
chosen
Indicates the collective opinion or perceived standing of an entity as judged by a group or general audience.
-
C.
lyricalReputation
Indicates the degree to which an entity is recognized or regarded for its skill, quality, or impact in creating or performing lyrics.
-
D.
hasAcousticUse
Indicates that something is used or functions in relation to sound or acoustics.
-
E.
collectionReputation
Indicates the perceived quality, trustworthiness, or status associated with a particular collection based on others’ evaluations or interactions.
- F. None of above.
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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96406e97c8190b79081039847115c |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:27 p.m.