Triple
T25371294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Franco-Siamese War of 1893 |
E632936
|
entity |
| Predicate | monarchOfSiamDuringConflict |
P148040
|
FINISHED |
| Object | Chulalongkorn |
—
|
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: Chulalongkorn | Statement: [Franco-Siamese War of 1893, monarchOfSiamDuringConflict, Chulalongkorn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monarchOfSiamDuringConflict Context triple: [Franco-Siamese War of 1893, monarchOfSiamDuringConflict, Chulalongkorn]
-
A.
monarchDuringWar
chosen
Indicates that a person held the position of monarch during the time span of a specified war.
-
B.
monarchDuringBattle
Indicates that one entity is the reigning monarch at the time when the other entity (a specific battle) takes place.
-
C.
sultanDuringConflict
Indicates that an individual holds the position or role of sultan during a specific conflict or period of armed struggle.
-
D.
opponentMonarch
Indicates that one monarch stands in an opposing or adversarial position to another monarch, typically in conflict or competition.
-
E.
opposingMonarch
Indicates that two monarchs are in opposition to each other, typically as rivals, enemies, or leaders of conflicting factions or states.
- 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_69e75a90c0dc819092f928b6ea0ecc72 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f4a11323e08190a8ec4687f8fefe7f |
completed | May 1, 2026, 12:48 p.m. |
| PD | Predicate disambiguation | batch_69f4683b34748190818428489a226124 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 1:38 p.m.