Triple
T735427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States–Cuba relations |
E14919
|
entity |
| Predicate | normalizationStartYear |
P10338
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [United States–Cuba relations, normalizationStartYear, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: normalizationStartYear Context triple: [United States–Cuba relations, normalizationStartYear, 2014]
-
A.
standardizedInYear
Indicates the specific year in which something was formally standardized or adopted as a standard.
-
B.
originYear
Indicates the year in which something first originated, was created, or began.
-
C.
beganInYear
chosen
Indicates that an event, process, or state started in a specific calendar year.
-
D.
standardizedInCentury
Indicates that something was standardized or formally established according to a common norm during a specified century.
-
E.
settingStartYear
Indicates the year in which a particular setting, configuration, or condition first becomes effective or begins to apply.
- 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_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a66820548190b373deb117187c2c |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a4fafee081909bf356854c09aaff |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.