Triple
T21777760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asian Games main stadium |
E537625
|
entity |
| Predicate | mayBeRenovatedFor |
P145911
|
FINISHED |
| Object | upcoming Asian Games edition |
—
|
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: upcoming Asian Games edition | Statement: [Asian Games main stadium, mayBeRenovatedFor, upcoming Asian Games edition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayBeRenovatedFor Context triple: [Asian Games main stadium, mayBeRenovatedFor, upcoming Asian Games edition]
-
A.
requiresRenovation
Indicates that an entity is in a condition that necessitates repair, updating, or refurbishment before it is suitable for normal use or standards.
-
B.
renovatedAfter
Indicates that one entity was renovated at a later time than another entity.
-
C.
hasRenovation
Indicates that an entity has undergone, is undergoing, or is associated with a renovation process or renovation event.
-
D.
renovatedBy
Indicates that an entity has been improved, restored, or updated through renovation work performed by another entity.
-
E.
renovatedFrom
Indicates that one entity has been updated, improved, or restored by modifying or reworking an earlier version represented by another entity.
- 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_69e0c470759c819094a215757113562b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0462b094c81908207073c278a58fe |
completed | April 28, 2026, 5:31 a.m. |
| PD | Predicate disambiguation | batch_69e6be6299988190a34c98fa76d94700 |
completed | April 21, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69e6d054737081908aa7112975b77475 |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 6:51 p.m.