Triple
T24911734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lon Nol |
E623863
|
entity |
| Predicate | precededByInPower |
P97
|
FINISHED |
| Object | Norodom Sihanouk |
—
|
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: Norodom Sihanouk | Statement: [Lon Nol, precededByInPower, Norodom Sihanouk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precededByInPower Context triple: [Lon Nol, precededByInPower, Norodom Sihanouk]
-
A.
wasPrecededBy
Indicates that one event, state, or entity occurred or existed earlier in time than another.
-
B.
precededBySpecial
Indicates that one event or entity occurs immediately before another in a context marked as special or exceptional compared to normal ordering.
-
C.
precededByUse
Indicates that one use, action, or event occurs earlier in time and is directly followed by another specified use, action, or event.
-
D.
classPrecededBy
Indicates that one class occurs or is scheduled before another class in a sequence or timetable.
-
E.
predecessor
chosen
Indicates that one entity comes before another in an ordered sequence or succession.
- 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_69e2fac889c081908e9ff686cb428e5a |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 5:28 a.m.