Triple
T7515808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MilleMiglia |
E177639
|
entity |
| Predicate | programMedium |
P77413
|
FINISHED |
| Object | membership card |
—
|
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: membership card | Statement: [MilleMiglia, programMedium, membership card]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: programMedium Context triple: [MilleMiglia, programMedium, membership card]
-
A.
softwareMedium
Indicates that something is conveyed, stored, or expressed through a software-based medium or digital environment.
-
B.
plannedMedium
Indicates that a particular medium or channel has been designated in advance for use in carrying out an action or communication.
-
C.
programType
Indicates the category or kind of program to which an entity belongs or with which it is associated.
-
D.
program
Indicates that an entity creates, writes, or develops a computer program or software application.
-
E.
stageMedium
Indicates that a performance, event, or presentation is taking place using a particular medium or format as its primary means of staging.
- 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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5f595148190b36649b0095bb898 |
completed | March 27, 2026, 9:26 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d44e9481909813e073b194f6f4 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f574d8a8819095749518dad13791 |
completed | March 27, 2026, 9:24 p.m. |
Created at: March 27, 2026, 3:45 p.m.