Triple
T587885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Climate Pledge Arena |
E17198
|
entity |
| Predicate | constructionCostOfRenovation |
P3154
|
FINISHED |
| Object | over US$1 billion |
—
|
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: over US$1 billion | Statement: [Climate Pledge Arena, constructionCostOfRenovation, over US$1 billion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructionCostOfRenovation Context triple: [Climate Pledge Arena, constructionCostOfRenovation, over US$1 billion]
-
A.
constructionCost
chosen
Indicates the monetary or resource expenditure required to build or construct something.
-
B.
estimatedCost
Indicates the predicted or calculated monetary amount expected to be required for something, such as a project, item, or action.
-
C.
renovationPurpose
Indicates that an entity is being renovated with a specific intended goal, use, or outcome in mind.
-
D.
hasRenovation
Indicates that an entity has undergone, is undergoing, or is associated with a renovation process or renovation event.
-
E.
renovationFeature
Indicates that an entity has a specific renovation-related characteristic, element, or improvement associated with it.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b9d1e68819096a9b5e7b2e83d6e |
completed | March 1, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69a494ca68448190a516b9c3525d8916 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:33 p.m.