Triple
T9781426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Way |
E237381
|
entity |
| Predicate | oftenExpressedIn |
P87213
|
FINISHED |
| Object | aphorisms |
—
|
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: aphorisms | Statement: [the Way, oftenExpressedIn, aphorisms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenExpressedIn Context triple: [the Way, oftenExpressedIn, aphorisms]
-
A.
oftenExpressedAs
chosen
Indicates that one thing is frequently represented, stated, or manifested in the form of another.
-
B.
expresses
Indicates that one entity conveys, communicates, or articulates a thought, feeling, or idea through another medium or form.
-
C.
oftenSays
Indicates that one entity frequently makes a particular statement or remark, or regularly expresses a certain idea or phrase.
-
D.
moreExpressiveThan
Indicates that one entity conveys ideas, emotions, or information with greater richness, nuance, or clarity than another.
-
E.
languageOfExpression
Indicates that a particular language is used as the medium or form in which an expression (such as a text, utterance, or work) is realized.
- 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda1b23cb88190b458ab18d5f7f493 |
completed | April 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69cd03d77c6c81909b675955bf113320 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:27 p.m.