Triple
T126607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constitution of Puerto Rico |
E2563
|
entity |
| Predicate | preambleIncludes |
P1393
|
FINISHED |
| Object | invocation of the people of Puerto Rico |
—
|
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: invocation of the people of Puerto Rico | Statement: [Constitution of Puerto Rico, preambleIncludes, invocation of the people of Puerto Rico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preambleIncludes Context triple: [Constitution of Puerto Rico, preambleIncludes, invocation of the people of Puerto Rico]
-
A.
preambleBeginsWith
Indicates that the preamble of a document or text starts with a specified substring, phrase, or content.
-
B.
preambleRecalls
Indicates that a preamble references or brings back into consideration a prior statement, event, or context.
-
C.
includes
chosen
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
D.
precedentFor
Indicates that one situation, decision, or case serves as an authoritative example or basis for deciding or interpreting another.
-
E.
providedFor
Indicates that one entity supplies, furnishes, or makes something available to or on behalf of another entity for its use or benefit.
- 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_69a251b54ea88190b18281669f59b4c0 |
completed | Feb. 28, 2026, 2:23 a.m. |
| NER | Named-entity recognition | batch_69a25761e9248190a7205bfc36cb5c45 |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a2564c11208190ad25495609d94d87 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:27 a.m.