Triple
T1952919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Union |
E42198
|
entity |
| Predicate | ceasedService |
P17360
|
FINISHED |
| Object | telegram service in the United States |
—
|
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: telegram service in the United States | Statement: [Western Union, ceasedService, telegram service in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceasedService Context triple: [Western Union, ceasedService, telegram service in the United States]
-
A.
ceasedDVDByMailService
Indicates that an entity has stopped or discontinued providing its DVD-by-mail service.
-
B.
ceasedOperation
chosen
Indicates that an entity has stopped functioning, operating, or carrying out its activities, typically in a permanent or indefinite manner.
-
C.
diedAs
Indicates that an entity ceased to live in a particular role, state, or identity.
-
D.
deathStatus
Indicates whether an entity is alive, dead, or in another specified state related to mortality.
-
E.
diedShortlyBefore
Indicates that one entity’s death occurred a brief time before another specified event or entity’s death.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3501d108190bc5cb23f53db4411 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abaff3eda88190b643994cb4dfb8df |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.