Triple
T5106155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Revolutionary Tribunal |
E115098
|
entity |
| Predicate | approximateNumberExecuted |
P19112
|
FINISHED |
| Object | thousands |
—
|
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: thousands | Statement: [Revolutionary Tribunal, approximateNumberExecuted, thousands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateNumberExecuted Context triple: [Revolutionary Tribunal, approximateNumberExecuted, thousands]
-
A.
numberOfExecutions
chosen
Indicates the count of times a particular action, process, or event has been carried out.
-
B.
runsApproximately
Indicates that an entity performs a running action in a manner that is close to, but not exactly matching, a specified time, distance, speed, or other running-related measure.
-
C.
approximateNumberAwarded
Indicates the estimated quantity of awards or recognitions given in a particular context or event.
-
D.
runtimeApprox
Indicates an approximate or estimated duration of time that something (such as a process, program, or event) takes to run or complete.
-
E.
approximates
Indicates that one entity is close to, but not exactly equal to, the value, form, or behavior of another entity.
- 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_69bd4440b3348190be1251fd8b7951f1 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75a7c6748190b02b7c2b617c830f |
completed | March 20, 2026, 4:28 p.m. |
| PD | Predicate disambiguation | batch_69bd715fe3a8819087d3065adddba515 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:41 p.m.