Triple
T5299805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AOL–Time Warner merger |
E119946
|
entity |
| Predicate | goodwillImpairment2002USD |
P63901
|
FINISHED |
| Object | 54000000000 |
—
|
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: 54000000000 | Statement: [AOL–Time Warner merger, goodwillImpairment2002USD, 54000000000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goodwillImpairment2002USD Context triple: [AOL–Time Warner merger, goodwillImpairment2002USD, 54000000000]
-
A.
exportedGood
Indicates that a good has been sent out from one country or region to another as part of international trade.
-
B.
boonDetails
Indicates the specific terms, conditions, or characteristics associated with a granted benefit or favor within the relationship or action.
-
C.
reducedCostOf
Indicates that one entity represents a lowered or discounted cost associated with another entity, typically compared to a standard or original price.
-
D.
methodOfDisposal
Indicates the specific way or process by which something is discarded, eliminated, or otherwise gotten rid of.
-
E.
valuedBy
Indicates that one entity is regarded as important, useful, or held in high esteem by 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_69bd446f22b88190b6a47fb91c68a3e7 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8e44e7c881909b241b2fec366038 |
completed | March 20, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69bd845097ac81909678624c4907fda4 |
completed | March 20, 2026, 5:30 p.m. |
| PDg | Predicate description generation | batch_69bd8e43c4c88190bb72b9bf56c99425 |
completed | March 20, 2026, 6:13 p.m. |
Created at: March 20, 2026, 1:53 p.m.