Triple
T2654592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Odessa (1941) |
E53977
|
entity |
| Predicate | SovietCiviliansEvacuatedEstimate |
P8973
|
FINISHED |
| Object | tens of thousands of civilians |
—
|
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: tens of thousands of civilians | Statement: [Battle of Odessa (1941), SovietCiviliansEvacuatedEstimate, tens of thousands of civilians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SovietCiviliansEvacuatedEstimate Context triple: [Battle of Odessa (1941), SovietCiviliansEvacuatedEstimate, tens of thousands of civilians]
-
A.
numberOfSovietPOWsVictimsEstimate
Indicates an estimated count of victims who were Soviet prisoners of war.
-
B.
numberOfEvacuated
chosen
Indicates the total count of individuals who have been evacuated from a location or situation.
-
C.
approximateNumberOfRefugeesTransported
Indicates an estimated count of refugees who were transported in the described event or context.
-
D.
estimatedNumberOfPeopleDeported
Indicates the approximate count of individuals who were forcibly removed or expelled from a place or country.
-
E.
SovietEquipmentLosses
Indicates the extent or instances of military equipment lost by Soviet forces in a given conflict or period.
- 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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abda0ba2208190ad87763ecbef8c3c |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd815d06481909535c02b0aba8553 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.