Triple
T22696792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1911 Turin International Exposition |
E561198
|
entity |
| Predicate | typeOfExposition |
P149355
|
FINISHED |
| Object | industrial exposition |
—
|
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: industrial exposition | Statement: [1911 Turin International Exposition, typeOfExposition, industrial exposition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfExposition Context triple: [1911 Turin International Exposition, typeOfExposition, industrial exposition]
-
A.
expositionMode
Indicates the manner or format in which information, narrative, or content is presented or explained.
-
B.
providesExpositionAbout
Indicates that one entity offers explanatory or background information clarifying or elaborating on another entity.
-
C.
expositionPurpose
Indicates that something (such as a text, speech, or display) serves the purpose of explaining, clarifying, or providing background information about a subject.
-
D.
exposureType
Indicates the specific manner or context in which one entity is exposed to another entity, condition, or influence.
-
E.
exhibitionType
Indicates the specific category or kind of exhibition associated with an entity (e.g., art show, trade fair, scientific exhibit).
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789f26848190bcc5a99e3ed909e7 |
completed | April 29, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:14 p.m.