Triple
T7032405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of the Annunciation |
E163300
|
entity |
| Predicate | highestRankWithin |
P4202
|
FINISHED |
| Object | orders of the House of Savoy |
—
|
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: orders of the House of Savoy | Statement: [Order of the Annunciation, highestRankWithin, orders of the House of Savoy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestRankWithin Context triple: [Order of the Annunciation, highestRankWithin, orders of the House of Savoy]
-
A.
highestRankIn
chosen
Indicates that one entity holds the top or most senior rank within a specified group, category, or context relative to other entities.
-
B.
isHighRanking
Indicates that an entity holds a position of relatively great authority, status, or seniority within a hierarchy or organization.
-
C.
rankedAmong
Indicates that an entity holds a specific position or status within a defined group, list, or hierarchy of comparable entities.
-
D.
isRankedAbove
Indicates that one entity holds a higher position or status in an ordered ranking than another entity.
-
E.
eligibleRank
Indicates that an entity meets the required rank or level criteria to qualify for a specific role, action, or benefit.
- 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e458ad9c81908c3f492b317ce291 |
completed | March 27, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b9a2488190aea351d96afa5a12 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:36 p.m.