Triple
T30823687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Head of the House of Habsburg-Lorraine |
E784996
|
entity |
| Predicate | traditionBasedOn |
P20591
|
FINISHED |
| Object | agnatic primogeniture |
—
|
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: agnatic primogeniture | Statement: [Head of the House of Habsburg-Lorraine, traditionBasedOn, agnatic primogeniture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionBasedOn Context triple: [Head of the House of Habsburg-Lorraine, traditionBasedOn, agnatic primogeniture]
-
A.
traditionSince
Indicates that a tradition has been continuously practiced or recognized starting from a specified point in time.
-
B.
traditionAscribes
Indicates that a tradition attributes or assigns a particular quality, role, origin, or action to an entity.
-
C.
traditionInheritedFrom
chosen
Indicates that a tradition has been passed down or derived from an earlier source, group, or culture.
-
D.
mainTradition
Indicates that one entity represents the primary or dominant tradition associated with another entity.
-
E.
basedOnTraditionOfWork
Indicates that something is derived from, influenced by, or follows the established tradition or body of work associated with another entity.
- 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_69f224b6642481909e8d701de2cd1a53 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe066d62b48190867df334039be786 |
completed | May 8, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69fe03afde3c8190a5b9b0778d19eb1a |
completed | May 8, 2026, 3:39 p.m. |
Created at: April 29, 2026, 8:44 p.m.