Triple
T31364145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth R |
E799958
|
entity |
| Predicate | RStandsFor |
P590
|
FINISHED |
| Object | Regina |
—
|
NE NERFINISHED |
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: Regina | Statement: [Elizabeth R, RStandsFor, Regina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RStandsFor Context triple: [Elizabeth R, RStandsFor, Regina]
-
A.
standsFor
chosen
Indicates that one entity represents, symbolizes, or serves as a substitute or abbreviation for another entity.
-
B.
acronymExpansion
Indicates that one term is an acronym whose letters stand for the words in another, longer expression.
-
C.
eraAbbreviation
Indicates that one term is the standard shortened or abbreviated form of a named historical or chronological era.
-
D.
letterRepresents
Indicates that a particular letter or character stands for, symbolizes, or denotes a specific value, concept, or entity.
-
E.
letterMeaning
Indicates that a particular letter conveys a specific meaning, interpretation, or semantic content.
- 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_69f224e6b7448190ac6bf97ad7364160 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f82ba5c8190acc54dfa7b82ee26 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d1d25e88190a7f57d323574da90 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:18 p.m.