Triple
T146719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twitter, Inc. |
E3345
|
entity |
| Predicate | revenue |
P7218
|
FINISHED |
| Object | 5060000000 USD (2021) |
—
|
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: 5060000000 USD (2021) | Statement: [Twitter, Inc., revenue, 5060000000 USD (2021)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revenue Context triple: [Twitter, Inc., revenue, 5060000000 USD (2021)]
-
A.
revenueLevel
Indicates the relative amount or tier of revenue associated with an entity or activity.
-
B.
market
Indicates the act of promoting, advertising, or selling a product, service, or idea to potential buyers or target audiences.
-
C.
capital
Indicates that one place serves as the official seat of government or primary administrative center for another political entity.
-
D.
salary
Indicates the amount of monetary compensation an entity receives, typically on a regular basis, for work or services performed.
-
E.
commercial
Indicates that one entity is engaged in a business-related or profit-oriented relationship, activity, or transaction with 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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a258808ff08190a06b6206f635612b |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a256580c2c8190beecca60ca8595f3 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2587e598c81909e1082b813971f48 |
completed | Feb. 28, 2026, 2:52 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.