Triple
T1212463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "The Existence of Matter" |
E26031
|
entity |
| Predicate | contrasts |
P11289
|
FINISHED |
| Object | appearance with reality |
—
|
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: appearance with reality | Statement: ["The Existence of Matter", contrasts, appearance with reality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contrasts Context triple: ["The Existence of Matter", contrasts, appearance with reality]
-
A.
oftenContrastedWith
chosen
Indicates that one entity is frequently compared to another in a way that highlights their differences or opposing characteristics.
-
B.
genreContrast
Indicates a relationship where two or more works are compared or juxtaposed based on differences between their genres.
-
C.
complements
Indicates that one entity enhances, completes, or improves another by providing qualities or functions that fit well together.
-
D.
opposedQualityTo
Indicates that one quality stands in direct opposition or contrast to another quality.
-
E.
verses
Indicates a relationship where one entity competes or is pitted against another, as in an opposition, matchup, or comparison.
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bde6cb608190b77fc5c47083e4b7 |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb62a7c08190a79dcb6ff72ac99b |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.