Triple
T28990497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | China’s Ivy League |
E736011
|
entity |
| Predicate | analogyTo |
P3882
|
FINISHED |
| Object | Ivy League |
—
|
NE NERFINISHED |
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: Ivy League | Statement: [China’s Ivy League, analogyTo, Ivy League]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: analogyTo Context triple: [China’s Ivy League, analogyTo, Ivy League]
-
A.
relatedAnalogy
Indicates that one entity is connected to another through an analogy, expressing a similarity or correspondence in structure, function, or relationship between them.
-
B.
viewOnAnalogy
Indicates a relationship where one entity interprets, understands, or evaluates another entity by drawing an analogy to something else.
-
C.
analogousTitle
Indicates that one entity has a title or position that corresponds in role, rank, or function to the title or position held by another entity.
-
D.
lessSimilarTo
Indicates that one entity is considered to share fewer similarities or a weaker resemblance with another entity compared to some reference or alternative.
-
E.
usedAsAnalogFor
chosen
Indicates that one entity is employed as a comparison or illustrative counterpart to help explain, represent, or understand 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_69f077eacd0481908ef0bafd74491cd0 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f65f7d3b5c8190937aaddff2879989 |
completed | May 2, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 9:24 a.m.