Triple
T33395944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nur Alem |
E855170
|
entity |
| Predicate | roleAtExpo2017 |
P174698
|
FINISHED |
| Object | central pavilion |
—
|
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: central pavilion | Statement: [Nur Alem, roleAtExpo2017, central pavilion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtExpo2017 Context triple: [Nur Alem, roleAtExpo2017, central pavilion]
-
A.
operatorDuringExpo
Indicates that an entity serves as an operator specifically during an exposition or expo event.
-
B.
exhibitionRole
Indicates the specific function or capacity an entity has within the context of an exhibition (e.g., organizer, curator, exhibitor, or participant).
-
C.
hasExhibitionRole
chosen
Indicates that an entity holds a specific role or function within the context of an exhibition.
-
D.
exhibitorType
Indicates the specific role or category an exhibitor belongs to within an exhibition or event context.
-
E.
usedByExhibitorType
Indicates that something is utilized or applied by a specific type or category of exhibitor.
- 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_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
Created at: May 1, 2026, 1:35 a.m.