Triple
T5766307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U2 360° Tour |
E127221
|
entity |
| Predicate | totalGross |
P66263
|
FINISHED |
| Object | over 736000000 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: over 736000000 USD | Statement: [U2 360° Tour, totalGross, over 736000000 USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalGross Context triple: [U2 360° Tour, totalGross, over 736000000 USD]
-
A.
grossTonnage
Indicates the total internal volume or carrying capacity of a vessel, measured in gross tons, as defined by maritime tonnage rules.
-
B.
hasTotalNumber
Indicates that an entity is associated with a specific overall count or sum of items, elements, or units.
-
C.
totalProduction
Indicates the overall quantity of goods, services, or output produced by an entity or system over a specified period or within a defined scope.
-
D.
taxAmountOriginal
Indicates the original amount of tax calculated or recorded for a transaction before any adjustments, discounts, or corrections.
-
E.
taxOn
Indicates that one entity imposes or applies a tax on another entity or item.
- 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02acb12c081908e4beee4a957f9f9 |
completed | March 22, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69c021ce8d3c81909b332cb1c33a61ad |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c02ac9603481909e3fa295d7904a15 |
completed | March 22, 2026, 5:45 p.m. |
Created at: March 22, 2026, 3:49 p.m.