Triple
T24924659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Countess of Burlington |
E618816
|
entity |
| Predicate | titleRankInPeerage |
P3784
|
FINISHED |
| Object | below marchioness |
—
|
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: below marchioness | Statement: [Countess of Burlington, titleRankInPeerage, below marchioness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleRankInPeerage Context triple: [Countess of Burlington, titleRankInPeerage, below marchioness]
-
A.
rankRelativeToPeerage
Indicates how an entity’s hierarchical rank compares to that of a specified peer or peer group within a defined ranking system.
-
B.
rankInBritishPeerageSystem
chosen
Indicates the specific noble title or level an entity holds within the hierarchical structure of the British peerage system.
-
C.
orderRankWithinBritishHonoursSystem
Indicates the relative hierarchical position of an honour or title within the structured ranking of the British honours system.
-
D.
rankRelativeToLordLieutenant
Indicates the relative hierarchical rank or precedence of an entity compared to the Lord Lieutenant.
-
E.
typeOfPeerage
Indicates the specific rank or category within a system of peerage that a given title or noble status belongs to.
- 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_69e2fab9edd88190b86004a78a28bc20 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f627aedf548190bc9f53c8a2d67b50 |
completed | May 2, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 18, 2026, 5:29 a.m.