Triple
T13643148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ₭ |
E326034
|
entity |
| Predicate | usedInPrint |
P87531
|
FINISHED |
| Object | invoices |
—
|
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: invoices | Statement: [₭, usedInPrint, invoices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInPrint Context triple: [₭, usedInPrint, invoices]
-
A.
usedPrintingPressAt
Indicates that one entity operated or made use of a printing press at, or in connection with, another entity (such as a place, time, or event).
-
B.
printedOn
Indicates that something is produced or reproduced in physical form on a specified material, surface, or medium.
-
C.
isTypicallyPrinted
chosen
Indicates that something is commonly or usually produced in printed form rather than in another medium.
-
D.
printedFor
Indicates that one entity produced a printed version of something specifically intended for another entity as the recipient or audience.
-
E.
printedInColor
Indicates that something was produced or reproduced using multiple ink colors rather than only black-and-white.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe85e1c4819095194f4b7f9f6118 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:51 p.m.