Triple
T28078100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diego de la Vega |
E709601
|
entity |
| Predicate | marksFoeWith |
P35665
|
FINISHED |
| Object | letter Z |
—
|
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: letter Z | Statement: [Diego de la Vega, marksFoeWith, letter Z]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marksFoeWith Context triple: [Diego de la Vega, marksFoeWith, letter Z]
-
A.
marksOn
chosen
Indicates that one entity bears visible signs, traces, or imprints that have been made or left by another entity.
-
B.
marked
Indicates that one entity has been identified, labeled, or highlighted in some way by another entity.
-
C.
marksBoundaryIn
Indicates that one entity serves as a boundary or delimiter within, or for a specific region or structure of, another entity.
-
D.
marksDetermine
Indicates that one entity’s marks or scores determine or decisively influence the outcome, status, or classification of another entity.
-
E.
marksStatus
Indicates that one entity assigns, records, or updates the status or condition of another entity.
- 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_69ef9b6f8078819098b741274cd1a2ee |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f64dbbaefc8190952b8320bf4397d8 |
completed | May 2, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f64cacd2c08190aed8a1761d0da679 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 27, 2026, 8:50 p.m.