Triple
T9240885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crimean evacuation of November 1920 |
E222054
|
entity |
| Predicate | numberOfMilitaryPersonnel |
P6153
|
FINISHED |
| Object | about 50000 soldiers |
—
|
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: about 50000 soldiers | Statement: [Crimean evacuation of November 1920, numberOfMilitaryPersonnel, about 50000 soldiers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMilitaryPersonnel Context triple: [Crimean evacuation of November 1920, numberOfMilitaryPersonnel, about 50000 soldiers]
-
A.
numberOfTroopsInvolved
chosen
Indicates the quantity of military personnel participating in or assigned to a specific operation, event, or engagement.
-
B.
militarySize
Indicates the total number of personnel in a military force, typically including active-duty members and sometimes reserves.
-
C.
numberOfMilitaryUnitsRecipients
Indicates the quantity of military units that are received by, or allocated to, the recipient entities in the relationship.
-
D.
personnelStrength
Indicates the number or capacity of people assigned to or available for a particular unit, organization, or operation.
-
E.
USForceStrength
Indicates the level or magnitude of military forces deployed or available by the United States in a given context.
- 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_69ca83ee26cc81909ac624e190597d6d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccf0a3888c8190b72d8d0b850bdfbc |
completed | April 1, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69cc7a4765648190aa9445c4a22dc471 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:30 p.m.