Triple
T26098477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qutb |
E658336
|
entity |
| Predicate | metaphoricalAssociation |
P31346
|
FINISHED |
| Object | center of a circle of saints |
—
|
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: center of a circle of saints | Statement: [Qutb, metaphoricalAssociation, center of a circle of saints]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metaphoricalAssociation Context triple: [Qutb, metaphoricalAssociation, center of a circle of saints]
-
A.
hasMetaphoricalForm
Indicates that one entity is expressed, represented, or understood through a metaphorical form or figurative expression involving another entity.
-
B.
figurativeMeaning
Indicates that one entity is used in a non-literal, metaphorical, or symbolic sense to convey a meaning about another entity or concept.
-
C.
keyMetaphor
chosen
Indicates that one entity functions as a central or primary metaphor used to conceptualize, explain, or structure understanding of another entity.
-
D.
metaphoricallyOpposes
Indicates a figurative or symbolic opposition between two entities, where one concept stands in contrast to or challenges the other in a non-literal, metaphorical sense.
-
E.
literalMeaningApproximation
Indicates that one entity expresses an approximate or rough literal meaning of another entity, rather than an exact or fully precise interpretation.
- 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_69ee5bc09c288190bc42a11972841383 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f607381a8c8190ad11235c85be02e1 |
completed | May 2, 2026, 2:16 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fd90fc81909055b211368f9139 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 7:53 p.m.