Triple
T22182019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Harmony Hall, Matsumoto |
E548191
|
entity |
| Predicate | namedLocationType |
P134880
|
FINISHED |
| Object | indoor venue |
—
|
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: indoor venue | Statement: [The Harmony Hall, Matsumoto, namedLocationType, indoor venue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedLocationType Context triple: [The Harmony Hall, Matsumoto, namedLocationType, indoor venue]
-
A.
namedTo
Indicates that one entity has been given or assigned a specific name referring to another entity.
-
B.
subjectLocationType
chosen
Indicates the type or category of location associated with the subject in the relationship.
-
C.
namedFeature
Indicates that an entity has a specific feature or attribute that is explicitly given a name.
-
D.
nameType
Indicates the specific category or type of a name associated with an entity (e.g., legal name, nickname, alias, or preferred name).
-
E.
labelLocation
Indicates that a label or identifier is associated with a specific spatial or geographic location.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aa5998081909ff35f8b5df4f92f |
completed | April 28, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69e71b48576c8190a8e93738fd9cfda5 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:35 p.m.