Triple
T22235602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heritage Foundation |
E549583
|
entity |
| Predicate | hasThinkTankRanking |
P59486
|
FINISHED |
| Object | among leading U.S. conservative think tanks |
—
|
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: among leading U.S. conservative think tanks | Statement: [Heritage Foundation, hasThinkTankRanking, among leading U.S. conservative think tanks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThinkTankRanking Context triple: [Heritage Foundation, hasThinkTankRanking, among leading U.S. conservative think tanks]
-
A.
hasRankingUnit
Indicates that one entity is associated with a specific unit or scale used to express its ranking or ordered position.
-
B.
hasRankingFactor
Indicates that one entity contributes as a factor to determining the ranking or ordered position of another entity.
-
C.
hasUniversityRankingRole
Indicates that an entity holds a specific role or function related to determining, managing, or representing a university’s ranking.
-
D.
usesRank
Indicates that one entity applies or relies on a ranking or ordered level system associated with another entity.
-
E.
rankingScope
chosen
Indicates the context or domain within which a ranking is defined, interpreted, or applied.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf6d74c8190a1d8d8fc24a06bd1 |
completed | April 28, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69e71b5177d881908f90abde14ada7dc |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:38 p.m.