Triple
T30344447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | equivalent exchange |
E771835
|
entity |
| Predicate | alsoExpressedAs |
P63266
|
FINISHED |
| Object | to obtain, something of equal value must be lost |
—
|
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: to obtain, something of equal value must be lost | Statement: [equivalent exchange, alsoExpressedAs, to obtain, something of equal value must be lost]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoExpressedAs Context triple: [equivalent exchange, alsoExpressedAs, to obtain, something of equal value must be lost]
-
A.
alsoExpressedIn
Indicates that something which is expressed in one context, medium, or entity is likewise expressed in another.
-
B.
oftenExpressedAs
Indicates that one thing is frequently represented, stated, or manifested in the form of another.
-
C.
alsoRefersTo
chosen
Indicates that one term, label, or identifier is used as an alternative designation for the same entity or concept as another.
-
D.
alsoKnownThrough
Indicates that an entity is recognized or identified by means of another entity, such as a source, context, or intermediary, through which its alternative name or identity is known.
-
E.
equivalentTo
Indicates that two entities represent the same concept, value, or state, and can be treated as interchangeable in the given 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f682065a548190bff089d7dafbf3ad |
completed | May 2, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69f67603526c81908295a1ece8727c66 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:55 p.m.