Triple
T33395947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nur Alem |
E855170
|
entity |
| Predicate | themeOfExpo2017 |
P5290
|
FINISHED |
| Object | Future Energy |
—
|
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: Future Energy | Statement: [Nur Alem, themeOfExpo2017, Future Energy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: themeOfExpo2017 Context triple: [Nur Alem, themeOfExpo2017, Future Energy]
-
A.
exhibitTheme
chosen
Indicates that something (such as a work, event, or presentation) presents, embodies, or is organized around a particular theme.
-
B.
themeExplores
Indicates that a work, action, or discourse centrally examines, investigates, or delves into a particular theme or subject.
-
C.
thematicConcept
Indicates that one entity embodies, expresses, or is centrally concerned with a particular underlying theme or conceptual idea represented by the other entity.
-
D.
thematicArea
Indicates the subject or item is associated with, or falls under, a particular thematic area or topic of focus.
-
E.
exhibitionConcept
Indicates that one entity serves as the conceptual theme, idea, or curatorial framework underlying an exhibition associated with another entity.
- 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_69f3496e3f1c8190bcecfa82aa9d17ff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:35 a.m.