Triple
T37459352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neptulon |
E930878
|
entity |
| Predicate | hasDigitalCardArt |
P200568
|
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: [Neptulon, hasDigitalCardArt, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDigitalCardArt Context triple: [Neptulon, hasDigitalCardArt, true]
-
A.
hasDigitalCard
Indicates that an entity possesses or is associated with a digital card (such as an electronic ID, membership, or payment card).
-
B.
hasCardBack
Indicates that an entity possesses or is associated with a specific card back design or reverse side.
-
C.
hasDigitalFacade
Indicates that an entity possesses a digital interface or representation that serves as its outward-facing surface or presentation.
-
D.
hasPopularDigitalVersionOn
Indicates that an entity has a widely used or well-known digital version available on a specified platform or medium.
-
E.
hasOfficialArtwork
Indicates that an entity is associated with an officially sanctioned piece of artwork representing it.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff965f9be48190b015b788207be676 |
completed | May 9, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69ff95d3015c8190b9d293fe31b859c3 |
completed | May 9, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_69ff965eef90819097499d1f0542378c |
completed | May 9, 2026, 8:17 p.m. |
Created at: May 3, 2026, 4:17 p.m.