Triple
T10386475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FamiliesReunitedInParadise |
E244775
|
entity |
| Predicate | understoodBy |
P83329
|
FINISHED |
| Object | Muslim theologians |
—
|
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: Muslim theologians | Statement: [FamiliesReunitedInParadise, understoodBy, Muslim theologians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: understoodBy Context triple: [FamiliesReunitedInParadise, understoodBy, Muslim theologians]
-
A.
canBeUnderstoodBy
chosen
Indicates that something is comprehensible or interpretable to a particular entity or group.
-
B.
betterUnderstoodAs
Indicates that one concept, term, or representation is more accurately or clearly interpreted when viewed as another specified concept, term, or representation.
-
C.
aimsToUnderstand
Indicates an intention or effort by one entity to gain knowledge, insight, or comprehension about another entity or subject.
-
D.
understandsCrossAs
Indicates that one entity comprehends or correctly interprets another entity specifically in the context of a cross-lingual, cross-domain, or otherwise cross-contextual relationship.
-
E.
lessMutuallyIntelligibleThan
Indicates that the level of mutual intelligibility between one pair of languages (or language varieties) is lower than that between another pair.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9a4e6748190bd9dd319de94c659 |
completed | April 7, 2026, 11:25 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb0e7a88190bec0b7a52c70dfe2 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, 12:05 p.m.