Triple
T38470527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prince of Orléans |
E912702
|
entity |
| Predicate | linkedToThrone |
P99936
|
FINISHED |
| Object | French line of succession (historical) |
—
|
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: French line of succession (historical) | Statement: [Prince of Orléans, linkedToThrone, French line of succession (historical)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedToThrone Context triple: [Prince of Orléans, linkedToThrone, French line of succession (historical)]
-
A.
linkedToThroneOf
Indicates a relationship where an entity is connected or related to a specific throne, typically through authority, succession, or symbolic association.
-
B.
relatedThrone
chosen
Indicates a relationship in which an entity is connected or associated with a throne, typically through possession, claim, succession, or authority over it.
-
C.
throneStatus
Indicates the current state or condition of an entity’s claim to, or occupancy of, a throne or ruling position.
-
D.
throne
Indicates that an entity holds or occupies a position of sovereign authority or rulership, typically as a monarch.
-
E.
securedThroneBy
Indicates that one entity obtained or maintained a throne or rulership position through the actions, support, or intervention of 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_69f76e861d8c81908559031dc66e3c15 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff1d85441c8190931e758685a269f7 |
completed | May 9, 2026, 11:41 a.m. |
| PD | Predicate disambiguation | batch_69ff1d186cc48190b315c61e23de6551 |
completed | May 9, 2026, 11:40 a.m. |
Created at: May 3, 2026, 4:31 p.m.