Triple
T33653493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethiopian ShebaMiles Silver |
E862159
|
entity |
| Predicate | statusCard |
P198927
|
FINISHED |
| Object | physical or digital 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: physical or digital membership card | Statement: [Ethiopian ShebaMiles Silver, statusCard, physical or digital membership card]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusCard Context triple: [Ethiopian ShebaMiles Silver, statusCard, physical or digital membership card]
-
A.
statusSymbol
Indicates that something serves as a marker or representation of an entity’s social, economic, or cultural standing relative to others.
-
B.
statusIndicates
Indicates that a particular status value conveys or reflects the current condition, state, or situation of an entity or process.
-
C.
status
Indicates the current condition, state, or standing of an entity within a given context.
-
D.
statusWithCardinals
Indicates a relationship where an entity’s status or condition is defined or evaluated specifically in relation to cardinal numbers (e.g., counts, rankings, or numeric positions).
-
E.
statusModel
Indicates that an entity is associated with a particular status representation or status-handling model.
- 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_69f349840ba881908e3bfce536aeb92b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff14d596e88190be5263b7f96a96cd |
completed | May 9, 2026, 11:04 a.m. |
| PD | Predicate disambiguation | batch_69ff13f0208081909369aeb3b77a6b1f |
completed | May 9, 2026, 11:01 a.m. |
| PDg | Predicate description generation | batch_69ff14d4dfc48190bc9fba2384988a98 |
completed | May 9, 2026, 11:04 a.m. |
Created at: May 1, 2026, 1:42 a.m.