Triple
T15834512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skydome |
E383951
|
entity |
| Predicate | hasRenovationReason |
P11548
|
FINISHED |
| Object | structural repairs after sinkhole |
—
|
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: structural repairs after sinkhole | Statement: [Skydome, hasRenovationReason, structural repairs after sinkhole]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRenovationReason Context triple: [Skydome, hasRenovationReason, structural repairs after sinkhole]
-
A.
hasRenovation
Indicates that an entity has undergone, is undergoing, or is associated with a renovation process or renovation event.
-
B.
requiresRenovation
Indicates that an entity is in a condition that necessitates repair, updating, or refurbishment before it is suitable for normal use or standards.
-
C.
renovationPurpose
chosen
Indicates that an entity is being renovated with a specific intended goal, use, or outcome in mind.
-
D.
brokeGroundForRenovation
Indicates that an entity initiated construction work to renovate or significantly upgrade another entity or site.
-
E.
hasRenovationCost
Indicates that an entity is associated with a specific monetary cost required for its renovation.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e673e08819080c3f55a225607c7 |
completed | April 16, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69e005418f588190824d91ff7974dada |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.