Triple
T325444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Union |
E6506
|
entity |
| Predicate | statusIn19thCentury |
P1560
|
FINISHED |
| Object | dominant American telegraph company |
—
|
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: dominant American telegraph company | Statement: [Western Union, statusIn19thCentury, dominant American telegraph company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusIn19thCentury Context triple: [Western Union, statusIn19thCentury, dominant American telegraph company]
-
A.
editionCount19thCentury
Indicates the number of editions of a work that were published during the 19th century.
-
B.
century
Indicates that an entity is associated with, occurs in, or belongs to a particular 100-year time period.
-
C.
discoveredInCentury
Indicates that an entity was discovered during a specific century.
-
D.
foundedInCentury
Indicates that an entity was established or came into existence during a specified century.
-
E.
activeInCentury
chosen
Indicates that an entity was active, influential, or operational during a specified century.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb1a37c08190b1380f6bf8513a37 |
completed | Feb. 28, 2026, 1:18 p.m. |
| PD | Predicate disambiguation | batch_69a2e949364c8190bc2351f5413f5057 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.