Triple
T5499519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Her Royal Highness The Princess of Wales |
E144290
|
entity |
| Predicate | stylePrecedence |
P1616
|
FINISHED |
| Object | higher than other royal highnesses |
—
|
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: higher than other royal highnesses | Statement: [Her Royal Highness The Princess of Wales, stylePrecedence, higher than other royal highnesses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stylePrecedence Context triple: [Her Royal Highness The Princess of Wales, stylePrecedence, higher than other royal highnesses]
-
A.
confersPrecedenceIn
chosen
Indicates that one entity is granted higher priority, rank, or standing over another within a specified context or domain.
-
B.
styleOfRule
Indicates the stylistic or formatting convention that a particular rule follows or is expressed in.
-
C.
orderPrecedence
Indicates that one entity must come before another in a defined sequence or priority order.
-
D.
stylePositioning
Indicates how an entity is spatially or visually arranged or aligned relative to a reference frame or other elements.
-
E.
hasHigherStyleThan
Indicates that one entity’s style is considered superior or more fashionable than another’s.
- 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_69c008f5a2748190bce7a39aabf87a6d |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f08c2a4819093e772a1497c7ecc |
completed | March 22, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_69c01b052f3c81909f71c6add0f35a6f |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:32 p.m.