Triple
T21934425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leontief paradox |
E541650
|
entity |
| Predicate | hasExplanation |
P3638
|
FINISHED |
| Object | distinction between skilled and unskilled labor |
—
|
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: distinction between skilled and unskilled labor | Statement: [Leontief paradox, hasExplanation, distinction between skilled and unskilled labor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExplanation Context triple: [Leontief paradox, hasExplanation, distinction between skilled and unskilled labor]
-
A.
hasOfficialExplanation
Indicates that an entity is accompanied by an authoritative or formally recognized explanation clarifying its reason, cause, or details.
-
B.
hasInitialExplanation
Indicates that an entity is associated with an original or first explanation provided at the beginning of a process, interaction, or presentation.
-
C.
usedToExplain
chosen
Indicates that one entity serves as an explanation or clarification for another entity.
-
D.
laterExplained
Indicates that an earlier event, statement, or situation is clarified or made understandable by information provided at a subsequent time.
-
E.
mustExplain
Indicates that one entity is obligated to provide a clarification, justification, or detailed account to another entity.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12402f7ac81909b14586a46d971bb |
completed | April 28, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69e6f5efc208819091ed2cf6841fa600 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 7:51 p.m.