Triple
T9451905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pantone 280 C |
E227912
|
entity |
| Predicate | applicationMedium |
P88257
|
FINISHED |
| Object | ink |
—
|
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: ink | Statement: [Pantone 280 C, applicationMedium, ink]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: applicationMedium Context triple: [Pantone 280 C, applicationMedium, ink]
-
A.
submissionMedium
Indicates the medium or channel through which something (such as a document, work, or request) is submitted or delivered.
-
B.
usedMedium
Indicates that an action or communication was carried out through a particular medium or channel.
-
C.
targetMedium
Indicates the medium or channel through which an action, message, or effect is directed or intended to be delivered.
-
D.
commonMedium
Indicates that two or more entities share the same medium or channel through which interaction, communication, or transmission occurs.
-
E.
programMedium
Indicates the medium or channel through which a program is delivered or communicated (e.g., TV, radio, online).
- 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_69ca8439f8bc8190997f2ef40c9f0bc2 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f6796d8819088cbecc0588ae5fc |
completed | April 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69cca5596ffc819097e9c8eefd4ef9b8 |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca89d0f0c8190b4528990fe708fca |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:52 p.m.