Triple
T4090013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Platt Amendment |
E87682
|
entity |
| Predicate | legalStatusInCuba |
P4547
|
FINISHED |
| Object | incorporated as constitutional appendices |
—
|
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: incorporated as constitutional appendices | Statement: [Platt Amendment, legalStatusInCuba, incorporated as constitutional appendices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusInCuba Context triple: [Platt Amendment, legalStatusInCuba, incorporated as constitutional appendices]
-
A.
legalStatusOfCuba
chosen
Indicates the legal or diplomatic status that an entity or action has specifically in relation to Cuba.
-
B.
legalStatusInPanama
Indicates the legal status or recognition of an entity within the jurisdiction of Panama.
-
C.
legalStatusAtArrival
Indicates the legal status or classification an entity held at the time it first arrived at a particular place or jurisdiction.
-
D.
stanceOnUSPolicyTowardCuba
Indicates a subject’s expressed position or viewpoint regarding the United States’ policies toward Cuba.
-
E.
legalStatusInMyanmar
Indicates the legal status or standing that an entity holds under the laws and regulations of Myanmar.
- 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefcab0a1c8190a1b0ca48ebc95b31 |
completed | March 9, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69aef909c9c88190b09d48dad325a83c |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:39 p.m.