Triple
T37678841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castle of Mey |
E938168
|
entity |
| Predicate | usedSeasonallyBy |
P188535
|
FINISHED |
| Object | Queen Elizabeth The Queen Mother |
—
|
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: Queen Elizabeth The Queen Mother | Statement: [Castle of Mey, usedSeasonallyBy, Queen Elizabeth The Queen Mother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedSeasonallyBy Context triple: [Castle of Mey, usedSeasonallyBy, Queen Elizabeth The Queen Mother]
-
A.
usedInSeason
Indicates that something (such as an item, strategy, or element) is utilized or appears within a particular season.
-
B.
hasUseSeason
Indicates the season or time of year during which something is intended or suitable to be used.
-
C.
usedForSeasonRange
Indicates the span of seasons or time period during which something is intended or suitable to be used.
-
D.
isSeasonalStandard
Indicates that something follows or conforms to the standard conditions, rules, or patterns that apply only during a specific season or time period.
-
E.
seasonalCategory
Indicates that something is associated with, classified by, or relevant to a particular season or time of year.
- F. None of above. chosen
Provenance (4 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_69f76ed7b1408190ba8c93c53cb8becf |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaa19e4a88190b04f26c0d4e708fd |
completed | May 6, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69fba887821c8190ae93ef1dd389e9c8 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fba9ddef488190b785d332580650f0 |
completed | May 6, 2026, 8:51 p.m. |
Created at: May 3, 2026, 4:18 p.m.