Triple
T25802291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rama VII |
E649867
|
entity |
| Predicate | lastAbsoluteMonarchOf |
P1546
|
FINISHED |
| Object | Thailand |
—
|
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: Thailand | Statement: [Rama VII, lastAbsoluteMonarchOf, Thailand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastAbsoluteMonarchOf Context triple: [Rama VII, lastAbsoluteMonarchOf, Thailand]
-
A.
lastMonarchOf
chosen
Indicates that one entity is the final reigning monarch of another entity, such as a country, kingdom, or territory.
-
B.
penultimateMonarchOf
Indicates that one entity is the second-to-last monarch to have ruled over the other entity.
-
C.
longestReigningMonarchOf
Indicates that the subject is the monarch who held the throne for the longest continuous period in the specified realm or political entity.
-
D.
laterMonarch
Indicates that one monarch’s reign occurred after another monarch’s reign in time.
-
E.
mostRecentCreationMonarch
Indicates that the subject is the monarch most recently established or created in relation to the referenced entity or context.
- 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_69e7ab34f8c8819099f6c4dabdabf129 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5ffcc0844819094a4fa2a65b2010a |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 22, 2026, 6:41 a.m.