Triple
T11891264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hīnayāna (as a polemical term in Mahāyāna texts) |
E282918
|
entity |
| Predicate | oftenMappedOnto |
P83591
|
FINISHED |
| Object | Theravāda in later polemics |
—
|
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: Theravāda in later polemics | Statement: [Hīnayāna (as a polemical term in Mahāyāna texts), oftenMappedOnto, Theravāda in later polemics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenMappedOnto Context triple: [Hīnayāna (as a polemical term in Mahāyāna texts), oftenMappedOnto, Theravāda in later polemics]
-
A.
mappedUsing
Indicates that one entity is associated or transformed into another entity through a specified mapping method or mechanism.
-
B.
mapsTo
Indicates that one entity is associated with or transformed into another entity, typically defining a directional correspondence or function from a source to a target.
-
C.
typicalMapping
Indicates a standard or commonly used correspondence between elements of one set, structure, or representation and those of another.
-
D.
mapped
Indicates that one entity has been associated, corresponded, or linked systematically to another according to some defined mapping or alignment.
-
E.
oftenRefersTo
chosen
Indicates that one entity is frequently used to mention, denote, or reference another entity in common usage or context.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d3a3f7548190adfb567f060a175a |
completed | April 10, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69d8bb2fca4481909893f3428b0871ac |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:44 p.m.