Triple
T31083838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UPC-E |
E792173
|
entity |
| Predicate | encodesNumericOnly |
P170727
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [UPC-E, encodesNumericOnly, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: encodesNumericOnly Context triple: [UPC-E, encodesNumericOnly, true]
-
A.
encodesZerosOf
Indicates that one entity represents or specifies the locations or values at which another entity evaluates to zero.
-
B.
encodesDirectly
Indicates that one entity contains and specifies the exact information needed to represent another entity without intermediate transformation or interpretation.
-
C.
encodes
Indicates that one entity contains or represents the information, instructions, or structure of another in a coded or symbolic form.
-
D.
firstDigitEncoding
Indicates that one entity encodes or represents the first digit of another entity (such as a number, code, or identifier).
-
E.
numericCode
Indicates that an entity is associated with a specific numerical identifier or classification code.
- F. None of above. chosen
Provenance (4 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_69f224ce48348190bd0fc23f656ed683 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695fb5f60819099ac1f20472cfc61 |
completed | May 3, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69f690f13d7481908ddfefe95df2a1c2 |
completed | May 3, 2026, 12:04 a.m. |
| PDg | Predicate description generation | batch_69f6938244648190a553b532387b812c |
completed | May 3, 2026, 12:14 a.m. |
Created at: April 29, 2026, 9:02 p.m.