Triple
T4336539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Cambodia |
E97475
|
entity |
| Predicate | adoptedAfterEvent |
P6513
|
FINISHED |
| Object | restoration of the Cambodian monarchy in 1993 |
—
|
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: restoration of the Cambodian monarchy in 1993 | Statement: [Flag of Cambodia, adoptedAfterEvent, restoration of the Cambodian monarchy in 1993]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adoptedAfterEvent Context triple: [Flag of Cambodia, adoptedAfterEvent, restoration of the Cambodian monarchy in 1993]
-
A.
adoptedAfter
chosen
Indicates that one entity was adopted at a later time than another entity.
-
B.
adoptedAtEvent
Indicates that an entity formally became an adopter or was officially adopted during a specific event.
-
C.
adoptedAs
Indicates that one entity has taken another into its family or care through a formal or recognized adoption process.
-
D.
adoptedWith
Indicates that two or more entities were adopted at the same time or as part of the same adoption event or process.
-
E.
adoptedAt
Indicates the time or date at which an adoption event took place.
- 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3516af43081908393fd0dad3d9382 |
completed | March 12, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69b34f4e13fc8190a42c519f37959d27 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:14 p.m.