Triple
T34200297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Luthuli |
E877359
|
entity |
| Predicate | postNominalForGradeSilver |
P1600
|
FINISHED |
| Object | OL (Silver) |
—
|
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: OL (Silver) | Statement: [Order of Luthuli, postNominalForGradeSilver, OL (Silver)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postNominalForGradeSilver Context triple: [Order of Luthuli, postNominalForGradeSilver, OL (Silver)]
-
A.
higherSilverContentThan
Indicates that one entity has a greater amount or proportion of silver content than another entity.
-
B.
hasPostNominal
Indicates that an entity is associated with a post-nominal title, abbreviation, or letters that follow a name to denote qualifications, honors, or status.
-
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.
silverContentStandard
Indicates the standard or required amount of silver content specified for something, such as a material, product, or item.
-
E.
postNominalLetters
chosen
Indicates that a person is associated with specific letters placed after their name to denote qualifications, honors, or professional affiliations.
- 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_69f349aff5f0819096275315abea5344 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:55 a.m.