Triple
T4315717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubai Millennium |
E96385
|
entity |
| Predicate | earnings |
P7218
|
FINISHED |
| Object | 4000000+ USD |
—
|
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: 4000000+ USD | Statement: [Dubai Millennium, earnings, 4000000+ USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earnings Context triple: [Dubai Millennium, earnings, 4000000+ USD]
-
A.
profitsFrom
Indicates that one entity gains financial or material benefit as a result of another entity’s actions, existence, or situation.
-
B.
netIncome
Indicates the financial result of an entity’s operations over a period, calculated as total revenues minus all expenses, taxes, and other deductions.
-
C.
revenue
chosen
Indicates the amount of income generated by an entity from its business activities or operations over a specified period.
-
D.
earnOn
Indicates that one entity gains income, profit, or returns as a result of another entity or activity.
-
E.
salary
Indicates the amount of monetary compensation an entity receives, typically on a regular basis, for work or services performed.
- 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_69b345422aac81909ddbadae437d122e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350f60dfc819098202b7eb3bbf402 |
completed | March 12, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69b34f4a07b08190a06ada0d9cbb14fb |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:12 p.m.