Triple
T24803746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centenary Medal |
E620595
|
entity |
| Predicate | postNominalAbbreviation |
P1600
|
FINISHED |
| Object | Centenary Medal |
—
|
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: Centenary Medal | Statement: [Centenary Medal, postNominalAbbreviation, Centenary Medal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postNominalAbbreviation Context triple: [Centenary Medal, postNominalAbbreviation, Centenary Medal]
-
A.
postNominalLetters
chosen
Indicates that a person is associated with specific letters placed after their name to denote qualifications, honors, or professional affiliations.
-
B.
postalStyleAbbreviation
Indicates that one term is a standardized shortened form of another term as used in postal addressing conventions.
-
C.
postNominalCategory
Indicates a classification or type assigned to an entity that is expressed in a post-nominal position (after the name or noun).
-
D.
postalName
Indicates the standardized name or label used for addressing and postal purposes associated with an entity.
-
E.
postalServiceDesignation
Indicates the official classification or label assigned to an entity by a postal service for mail handling, routing, or addressing purposes.
- 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_69e2fabf26bc8190b191faac8f67065b |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f412ac4d9481908f5faf76947fa34b |
completed | May 1, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:49 a.m.