Triple
T38372910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FBP |
E893538
|
entity |
| Predicate | monarchInSystem |
P191149
|
FINISHED |
| Object | Prince of Liechtenstein |
—
|
NE NERFINISHED |
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: Prince of Liechtenstein | Statement: [FBP, monarchInSystem, Prince of Liechtenstein]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monarchInSystem Context triple: [FBP, monarchInSystem, Prince of Liechtenstein]
-
A.
monarchIs
Indicates that one entity serves as the ruling monarch (such as king, queen, or equivalent sovereign) of another entity, typically a state or territory.
-
B.
monarchIn
Indicates that a person serves as the ruling monarch of a specified country, state, or territory.
-
C.
monarchNumber
Indicates the ordinal position or sequence number assigned to a monarch within a line of rulers.
-
D.
monarchType
Indicates the specific kind or category of monarchy or monarch associated with an entity.
-
E.
monarchUntil
Indicates that an entity served as monarch over another entity up to, but not beyond, a specified end time or event.
- F. None of above. chosen
Provenance (4 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_69f76e4b1f748190a380696a16eae4a2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcda35dc048190a3c90e15230900e0 |
completed | May 7, 2026, 6:30 p.m. |
Created at: May 3, 2026, 4:31 p.m.