Triple
T1580037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four Freedoms |
E33740
|
entity |
| Predicate | statedAsGoalFor |
P32840
|
FINISHED |
| Object | people everywhere in the world |
—
|
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: people everywhere in the world | Statement: [Four Freedoms, statedAsGoalFor, people everywhere in the world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statedAsGoalFor Context triple: [Four Freedoms, statedAsGoalFor, people everywhere in the world]
-
A.
legacyGoal
Indicates that an entity has a long-term, enduring objective or impact it aims to leave behind beyond its immediate actions or existence.
-
B.
strategicGoal
Indicates that one entity represents a long-term objective or desired outcome that another entity is intentionally aiming to achieve or align actions toward.
-
C.
hasPrimaryGoal
Indicates that an entity’s main or most important objective is the specified goal.
-
D.
laterGoal
Indicates that one goal occurs or is intended to be achieved after another goal in time.
-
E.
hasGoalYear
Indicates that an entity is associated with a specific target year by which a goal or objective is intended to be achieved.
- F. None of above. chosen
Provenance (4 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_69a885f27a4c8190a4622252cdf54c00 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abacfb1144819080c5687175aba1e1 |
completed | March 7, 2026, 4:43 a.m. |
| PD | Predicate disambiguation | batch_69aa61b0f5bc8190b1dc272990a59c13 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69abacf991148190b20521c063f93bfd |
completed | March 7, 2026, 4:43 a.m. |
Created at: March 4, 2026, 7:27 p.m.