Triple
T35223489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honoré II, Prince of Monaco |
E1017023
|
entity |
| Predicate | startOfReignAsLordOfMonaco |
P177595
|
FINISHED |
| Object | 1604 |
—
|
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: 1604 | Statement: [Honoré II, Prince of Monaco, startOfReignAsLordOfMonaco, 1604]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startOfReignAsLordOfMonaco Context triple: [Honoré II, Prince of Monaco, startOfReignAsLordOfMonaco, 1604]
-
A.
reignAsDukeOfNassauStart
Indicates the time at which an individual begins their tenure ruling in the position of Duke of Nassau.
-
B.
reignAsKingOfFranceStart
Indicates the time point or event at which an individual begins their tenure as the reigning king of France.
-
C.
monarchicalPeriodStart
chosen
Indicates the point in time when a monarchy or monarchical rule over an entity begins.
-
D.
previousMonarchReignStart
Indicates that the subject is the monarch whose reign began immediately before the start of the object monarch’s reign.
-
E.
reignAsDukeOfLorraineStart
Indicates the time at which an individual begins their tenure reigning as Duke of Lorraine.
- 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_69f76de072908190ab65038a8a7b6a79 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a0067cde0f08190b2cd93af5f00d519 |
completed | May 10, 2026, 11:11 a.m. |
| PD | Predicate disambiguation | batch_6a0065820c8c8190994734433c64a30a |
completed | May 10, 2026, 11:01 a.m. |
Created at: May 3, 2026, 4:02 p.m.