Triple
T1483269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collar of the Order of Isabella the Catholic |
E29406
|
entity |
| Predicate | orderHierarchyPosition |
P5163
|
FINISHED |
| Object | highest |
—
|
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: highest | Statement: [Collar of the Order of Isabella the Catholic, orderHierarchyPosition, highest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderHierarchyPosition Context triple: [Collar of the Order of Isabella the Catholic, orderHierarchyPosition, highest]
-
A.
positionInHierarchy
chosen
Indicates that one entity occupies a specific rank or level relative to another within an ordered hierarchy.
-
B.
legalHierarchyRank
Indicates the relative position or level of authority an entity holds within a legal or judicial hierarchy.
-
C.
orderPrecedence
Indicates that one entity must come before another in a defined sequence or priority order.
-
D.
domesticCupHierarchyPosition
Indicates the relative ranking or level of a team or participant within the structure or tiers of a domestic cup competition.
-
E.
orderedBy
Indicates that one entity has placed a request or purchase for another entity, typically specifying who initiated the order.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c679714c8190ac53630fb49e19c5 |
completed | March 1, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69a4c486eacc81909c272f9bdf50a7c3 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:11 p.m.